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Sr. Software Engineer
Concordusa · Active · JazzHR / ApplyToJob
Job facts
| Field | Value |
|---|---|
| Company | Concordusa |
| Title | Sr. Software Engineer |
| Normalized title | - |
| Department / team | - |
| Location | - |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | JazzHR / ApplyToJob |
| Posted / first seen | 2026-06-18 / 2026-06-18 |
| Changed / last seen | 2026-06-18 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Concordusa. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through JazzHR / ApplyToJob. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Concordusa |
| Source | fa33c413-6581-4ea4-aa78-83de1ff1d350 |
| ATS provider | JazzHR / ApplyToJob |
Description
JOB DESCRIPTION
Senior Data Engineer
Data & Analytics Engineering About the Role We are looking for a Senior Data Engineer to join our growing Data & Analytics team. In this role, you will design, build, and maintain scalable data pipelines and platforms that power critical business decisions. You will be a key contributor in driving our cloud-first data strategy, leveraging Azure Databricks as a core technology and Azure Data Factory (ADF) as Good to have feature.
You will collaborate closely with data scientists, analysts, and product teams to deliver high-quality, reliable, and performant data solutions in a fast-paced environment. Key Responsibilities Data Pipeline & Architecture Design, develop, and maintain robust ETL/ELT pipelines using Azure Databricks and Azure Data Factory (ADF). Architect and implement scalable data lakehouse solutions on Azure using Delta Lake. Build and optimize data workflows across batch and streaming workloads (Spark Structured Streaming, Event Hubs). Define and enforce data modeling best practices (star schema, data vault, medallion architecture). Databricks Engineering Develop and optimize Spark-based data transformations using PySpark and Spark SQL in Databricks. Manage Databricks clusters, jobs, and workspace configurations for performance and cost efficiency. Implement Delta Live Tables (DLT) pipelines for declarative, auto-scaling data transformations. Leverage Unity Catalog for data governance, lineage tracking, and access control. Utilize Databricks Asset Bundles (DABs) and CI/CD practices for deployment automation. Azure Data Factory (ADF) – (Good To Have Feature) Build, schedule, and monitor complex ADF pipelines with parameterized templates. Integrate ADF with Azure Key Vault, Linked Services, and Integration Runtimes (SHIR/Azure IR). Implement incremental load patterns, watermarking, and change data capture (CDC) strategies. Troubleshoot pipeline failures and optimize ADF pipeline performance and cost. Data Quality & Governance Implement data quality frameworks and validation checks across pipelines. Enforce data cataloging, lineage, and metadata management practices. Collaborate with data governance teams to ensure compliance with data policies and regulations (GDPR, HIPAA). Collaboration & Leadership Mentor junior data engineers and conduct code reviews. Work closely with data scientists and ML engineers to productionize machine learning models. Partner with DevOps/Cloud teams on infrastructure-as-code (Terraform/Bicep) for data platform provisioning. Document architecture decisions, pipeline designs, and operational runbooks. Required Qualifications 7+ years of hands-on experience with Azure Databricks (Spark SQL, Delta Lake, PySpark). Strong proficiency in SQL preferred and Python. Deep understanding of distributed computing principles and the Apache Spark ecosystem. Experience with Azure data services: ADLS Gen2, Azure Synapse, Azure SQL, Event Hubs / Kafka. Solid understanding of data warehousing concepts and dimensional modeling. Experience with version control (Git) and CI/CD tools (Azure DevOps, GitHub Actions). Familiarity with infrastructure-as-code tools (Terraform or ARM/Bicep). Preferred Qualifications Databricks Certified Data Engineer Associate or Professional certification. Microsoft Certified: Azure Data Engineer Associate (DP-203). Experience with Delta Live Tables (DLT) and Databricks Workflows. Familiarity with Power BI or other BI/reporting tools. Experience with Scala or Java for Spark development. Technology Stack Core Platforms Azure Databricks (Preferred), Azure Data Factory (ADF) (Good to have) Data Storage Azure Data Lake Storage Gen2, Delta Lake, Azure SQL, Cosmos DB Languages Python (PySpark), SQL Orchestration ADF Triggers, Databricks Workflows, Apache Airflow Monitoring Azure Monitor, Log Analytics, Databricks Cluster Policies Governance Unity Catalog, Azure Purview, Azure Key Vault – (Good to have) BI / Reporting Power BI, Tableau Key Competencies Strong analytical and problem-solving skills with attention to detail. Excellent communication skills — ability to translate complex technical concepts to non-technical stakeholders. Self-motivated and able to manage competing priorities in an agile environment. Collaborative team player with a growth mindset and eagerness to mentor others. Proactive in identifying performance bottlenecks and proposing architectural improvements. ***
Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!
Full job record
| Job ID | 7c02d4eebcca98f6e0c93109b70fcef248c00554 |
| Org ID | 79c55f00-19c3-4e20-ae42-da2b3bf1e5bc |
| Source ID | fa33c413-6581-4ea4-aa78-83de1ff1d350 |
| Board ID | fa33c413-6581-4ea4-aa78-83de1ff1d350 |
| Provider | jazzhr |
| Provider Job Key | KQGPWVRZTv |
| Title | Sr. Software Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://concordusa.applytojob.com/apply/KQGPWVRZTv/Sr-Software-Engineer |
| Apply URL | https://concordusa.applytojob.com/apply/KQGPWVRZTv/Sr-Software-Engineer |
| First Seen At | 2026-06-18 12:08:04Z |
| Last Seen At | 2026-06-21 12:57:15Z |
| Last Checked At | 2026-06-21 12:57:15Z |
| Last Changed At | 2026-06-18 12:08:04Z |
| Inactive At | — |
| Source Posted At | 2026-06-18 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=jazzhr/board=concordusa/date=2026-06-21/2026-06-21T12-57-13-712Z-d7e6d67f9b857325a7b024de56d23a2a79890f624442bc4ee6e625b1f1272290.json |
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"heading": "About the Role We are looking for a Senior Data Engineer to join our growing Data & Analytics team. In this role, you will design, build, and maintain scalable data pipelines and platforms that power critical business decisions. You will be a key contributor in driving our cloud-first data strategy, leveraging Azure Databricks as a core technology and Azure Data Factory (ADF) as Good to have feature.\n You will collaborate closely with data scientists, analysts, and product teams to deliver high-quality, reliable, and performant data solutions in a fast-paced environment. Key Responsibilities Data Pipeline & Architecture Design, develop, and maintain robust ETL\\/ELT pipelines using Azure Databricks and Azure Data Factory (ADF). Architect and implement scalable data lakehouse solutions on Azure using Delta Lake. Build and optimize data workflows across batch and streaming workloads (Spark Structured Streaming, Event Hubs). Define and enforce data modeling best practices (star schema, data vault, medallion architecture). Databricks Engineering Develop and optimize Spark-based data transformations using PySpark and Spark SQL in Databricks. Manage Databricks clusters, jobs, and workspace configurations for performance and cost efficiency. Implement Delta Live Tables (DLT) pipelines for declarative, auto-scaling data transformations. Leverage Unity Catalog for data governance, lineage tracking, and access control. Utilize Databricks Asset Bundles (DABs) and CI\\/CD practices for deployment automation. Azure Data Factory (ADF) – (Good To Have Feature) Build, schedule, and monitor complex ADF pipelines with parameterized templates. Integrate ADF with Azure Key Vault, Linked Services, and Integration Runtimes (SHIR\\/Azure IR). Implement incremental load patterns, watermarking, and change data capture (CDC) strategies. Troubleshoot pipeline failures and optimize ADF pipeline performance and cost. Data Quality & Governance Implement data quality frameworks and validation checks across pipelines. Enforce data cataloging, lineage, and metadata management practices. Collaborate with data governance teams to ensure compliance with data policies and regulations (GDPR, HIPAA). Collaboration & Leadership Mentor junior data engineers and conduct code reviews. Work closely with data scientists and ML engineers to productionize machine learning models. Partner with DevOps\\/Cloud teams on infrastructure-as-code (Terraform\\/Bicep) for data platform provisioning. Document architecture decisions, pipeline designs, and operational runbooks. Required Qualifications 7+ years of hands-on experience with Azure Databricks (Spark SQL, Delta Lake, PySpark). Strong proficiency in SQL preferred and Python. Deep understanding of distributed computing principles and the Apache Spark ecosystem. Experience with Azure data services: ADLS Gen2, Azure Synapse, Azure SQL, Event Hubs \\/ Kafka. Solid understanding of data warehousing concepts and dimensional modeling. Experience with version control (Git) and CI\\/CD tools (Azure DevOps, GitHub Actions). Familiarity with infrastructure-as-code tools (Terraform or ARM\\/Bicep). Preferred Qualifications Databricks Certified Data Engineer Associate or Professional certification. Microsoft Certified: Azure Data Engineer Associate (DP-203). Experience with Delta Live Tables (DLT) and Databricks Workflows. Familiarity with Power BI or other BI\\/reporting tools. Experience with Scala or Java for Spark development. 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Proactive in identifying performance bottlenecks and proposing architectural improvements. *** \\n\\n Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. 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"description_html": "<table class=\"Table\" style=\"width:6.5in;border-collapse:collapse;border:none;\" width=\"624\"><tbody><tr><td style=\"border-bottom:none;width:624px;padding:16px 0.25in 16px 0.25in;background-color:#1f4e79;border-top:none;border-right:none;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:18pt;\"><span style=\"color:#FFFFFF;\">JOB DESCRIPTION</span></span></b></span></span><br><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:24pt;\"><span style=\"color:#FFFFFF;\">Senior Data Engineer</span></span></b></span></span><br><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"color:#a8c8e8;\">Data & Analytics Engineering</span></span></span></span></td></tr></tbody></table> <div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">About the Role</span></span></span></h1></div><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">We are looking for a Senior Data Engineer to join our growing Data & Analytics team. In this role, you will design, build, and maintain scalable data pipelines and platforms that power critical business decisions. You will be a key contributor in driving our cloud-first data strategy, leveraging Azure Databricks as a core technology and Azure Data Factory (ADF) as Good to have feature.</span></span><br><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">You will collaborate closely with data scientists, analysts, and product teams to deliver high-quality, reliable, and performant data solutions in a fast-paced environment.</span></span><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Key Responsibilities</span></span></span></h1></div><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Data Pipeline & Architecture</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Design, develop, and maintain robust ETL/ELT pipelines using Azure Databricks and Azure Data Factory (ADF).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Architect and implement scalable data lakehouse solutions on Azure using Delta Lake.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Build and optimize data workflows across batch and streaming workloads (Spark Structured Streaming, Event Hubs).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Define and enforce data modeling best practices (star schema, data vault, medallion architecture).</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Databricks Engineering</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Develop and optimize Spark-based data transformations using PySpark and Spark SQL in Databricks.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Manage Databricks clusters, jobs, and workspace configurations for performance and cost efficiency.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Implement Delta Live Tables (DLT) pipelines for declarative, auto-scaling data transformations.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Leverage Unity Catalog for data governance, lineage tracking, and access control.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Utilize Databricks Asset Bundles (DABs) and CI/CD practices for deployment automation.</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Azure Data Factory (ADF) – (Good To Have Feature)</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Build, schedule, and monitor complex ADF pipelines with parameterized templates.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Integrate ADF with Azure Key Vault, Linked Services, and Integration Runtimes (SHIR/Azure IR).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Implement incremental load patterns, watermarking, and change data capture (CDC) strategies.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Troubleshoot pipeline failures and optimize ADF pipeline performance and cost.</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Data Quality & Governance</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Implement data quality frameworks and validation checks across pipelines.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Enforce data cataloging, lineage, and metadata management practices.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Collaborate with data governance teams to ensure compliance with data policies and regulations (GDPR, HIPAA).</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Collaboration & Leadership</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Mentor junior data engineers and conduct code reviews.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Work closely with data scientists and ML engineers to productionize machine learning models.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Partner with DevOps/Cloud teams on infrastructure-as-code (Terraform/Bicep) for data platform provisioning.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Document architecture decisions, pipeline designs, and operational runbooks.</span></span></li></ul><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Required Qualifications</span></span></span></h1></div><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">7+ years of hands-on experience with Azure Databricks (Spark SQL, Delta Lake, PySpark).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong proficiency in SQL preferred and Python.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Deep understanding of distributed computing principles and the Apache Spark ecosystem.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with Azure data services: ADLS Gen2, Azure Synapse, Azure SQL, Event Hubs / Kafka.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Solid understanding of data warehousing concepts and dimensional modeling.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with version control (Git) and CI/CD tools (Azure DevOps, GitHub Actions).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with infrastructure-as-code tools (Terraform or ARM/Bicep).</span></span></li></ul><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Preferred Qualifications</span></span></span></h1></div><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Databricks Certified Data Engineer Associate or Professional certification.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Microsoft Certified: Azure Data Engineer Associate (DP-203).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with Delta Live Tables (DLT) and Databricks Workflows.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with Power BI or other BI/reporting tools.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with Scala or Java for Spark development.</span></span></li></ul><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Technology Stack</span></span></span></h1></div><table class=\"Table\" style=\"width:6.5in;border-collapse:collapse;border:none;\" width=\"624\"><tbody><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:1px solid #bbcfe8;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Core Platforms</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:1px solid #bbcfe8;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Azure Databricks (Preferred), Azure Data Factory (ADF) (Good to have)</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Data Storage</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Azure Data Lake Storage Gen2, Delta Lake, Azure SQL, Cosmos DB</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Languages</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Python (PySpark), SQL</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Orchestration</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">ADF Triggers, Databricks Workflows, Apache Airflow</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Monitoring</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Azure Monitor, Log Analytics, Databricks Cluster Policies</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Governance</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Unity Catalog, Azure Purview, Azure Key Vault – (Good to have)</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">BI / Reporting</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Power BI, Tableau</span></span></span></span></td></tr></tbody></table> <div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Key Competencies</span></span></span></h1></div><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong analytical and problem-solving skills with attention to detail.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Excellent communication skills — ability to translate complex technical concepts to non-technical stakeholders.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Self-motivated and able to manage competing priorities in an agile environment.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Collaborative team player with a growth mindset and eagerness to mentor others.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Proactive in identifying performance bottlenecks and proposing architectural improvements.</span></span></li></ul><p>***</p>\n\n<p>Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!</p>",
"description_text": "JOB DESCRIPTION\n Senior Data Engineer\n Data & Analytics Engineering About the Role\n We are looking for a Senior Data Engineer to join our growing Data & Analytics team. In this role, you will design, build, and maintain scalable data pipelines and platforms that power critical business decisions. You will be a key contributor in driving our cloud-first data strategy, leveraging Azure Databricks as a core technology and Azure Data Factory (ADF) as Good to have feature.\n You will collaborate closely with data scientists, analysts, and product teams to deliver high-quality, reliable, and performant data solutions in a fast-paced environment. Key Responsibilities\n Data Pipeline & Architecture\n Design, develop, and maintain robust ETL/ELT pipelines using Azure Databricks and Azure Data Factory (ADF).\n Architect and implement scalable data lakehouse solutions on Azure using Delta Lake.\n Build and optimize data workflows across batch and streaming workloads (Spark Structured Streaming, Event Hubs).\n Define and enforce data modeling best practices (star schema, data vault, medallion architecture).\n Databricks Engineering\n Develop and optimize Spark-based data transformations using PySpark and Spark SQL in Databricks.\n Manage Databricks clusters, jobs, and workspace configurations for performance and cost efficiency.\n Implement Delta Live Tables (DLT) pipelines for declarative, auto-scaling data transformations.\n Leverage Unity Catalog for data governance, lineage tracking, and access control.\n Utilize Databricks Asset Bundles (DABs) and CI/CD practices for deployment automation.\n Azure Data Factory (ADF) – (Good To Have Feature)\n Build, schedule, and monitor complex ADF pipelines with parameterized templates.\n Integrate ADF with Azure Key Vault, Linked Services, and Integration Runtimes (SHIR/Azure IR).\n Implement incremental load patterns, watermarking, and change data capture (CDC) strategies.\n Troubleshoot pipeline failures and optimize ADF pipeline performance and cost.\n Data Quality & Governance\n Implement data quality frameworks and validation checks across pipelines.\n Enforce data cataloging, lineage, and metadata management practices.\n Collaborate with data governance teams to ensure compliance with data policies and regulations (GDPR, HIPAA).\n Collaboration & Leadership\n Mentor junior data engineers and conduct code reviews.\n Work closely with data scientists and ML engineers to productionize machine learning models.\n Partner with DevOps/Cloud teams on infrastructure-as-code (Terraform/Bicep) for data platform provisioning.\n Document architecture decisions, pipeline designs, and operational runbooks.\n Required Qualifications\n 7+ years of hands-on experience with Azure Databricks (Spark SQL, Delta Lake, PySpark).\n Strong proficiency in SQL preferred and Python.\n Deep understanding of distributed computing principles and the Apache Spark ecosystem.\n Experience with Azure data services: ADLS Gen2, Azure Synapse, Azure SQL, Event Hubs / Kafka.\n Solid understanding of data warehousing concepts and dimensional modeling.\n Experience with version control (Git) and CI/CD tools (Azure DevOps, GitHub Actions).\n Familiarity with infrastructure-as-code tools (Terraform or ARM/Bicep).\n Preferred Qualifications\n Databricks Certified Data Engineer Associate or Professional certification.\n Microsoft Certified: Azure Data Engineer Associate (DP-203).\n Experience with Delta Live Tables (DLT) and Databricks Workflows.\n Familiarity with Power BI or other BI/reporting tools.\n Experience with Scala or Java for Spark development.\n Technology Stack\n Core Platforms Azure Databricks (Preferred), Azure Data Factory (ADF) (Good to have) Data Storage Azure Data Lake Storage Gen2, Delta Lake, Azure SQL, Cosmos DB Languages Python (PySpark), SQL Orchestration ADF Triggers, Databricks Workflows, Apache Airflow Monitoring Azure Monitor, Log Analytics, Databricks Cluster Policies Governance Unity Catalog, Azure Purview, Azure Key Vault – (Good to have) BI / Reporting Power BI, Tableau Key Competencies\n Strong analytical and problem-solving skills with attention to detail.\n Excellent communication skills — ability to translate complex technical concepts to non-technical stakeholders.\n Self-motivated and able to manage competing priorities in an agile environment.\n Collaborative team player with a growth mindset and eagerness to mentor others.\n Proactive in identifying performance bottlenecks and proposing architectural improvements.\n ***\n Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!",
"jsonld_jobposting": {
"url": "https://concordusa.applytojob.com/apply/KQGPWVRZTv/Sr-Software-Engineer",
"@type": "JobPosting",
"title": "Sr. Software Engineer",
"@context": "http://schema.org/",
"datePosted": "2026-06-18",
"description": "<table class=\"Table\" style=\"width:6.5in;border-collapse:collapse;border:none;\" width=\"624\"><tbody><tr><td style=\"border-bottom:none;width:624px;padding:16px 0.25in 16px 0.25in;background-color:#1f4e79;border-top:none;border-right:none;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:18pt;\"><span style=\"color:#FFFFFF;\">JOB DESCRIPTION</span></span></b></span></span><br><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:24pt;\"><span style=\"color:#FFFFFF;\">Senior Data Engineer</span></span></b></span></span><br><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"color:#a8c8e8;\">Data & Analytics Engineering</span></span></span></span></td></tr></tbody></table> <div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">About the Role</span></span></span></h1></div><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">We are looking for a Senior Data Engineer to join our growing Data & Analytics team. In this role, you will design, build, and maintain scalable data pipelines and platforms that power critical business decisions. You will be a key contributor in driving our cloud-first data strategy, leveraging Azure Databricks as a core technology and Azure Data Factory (ADF) as Good to have feature.</span></span><br><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">You will collaborate closely with data scientists, analysts, and product teams to deliver high-quality, reliable, and performant data solutions in a fast-paced environment.</span></span><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Key Responsibilities</span></span></span></h1></div><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Data Pipeline & Architecture</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Design, develop, and maintain robust ETL/ELT pipelines using Azure Databricks and Azure Data Factory (ADF).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Architect and implement scalable data lakehouse solutions on Azure using Delta Lake.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Build and optimize data workflows across batch and streaming workloads (Spark Structured Streaming, Event Hubs).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Define and enforce data modeling best practices (star schema, data vault, medallion architecture).</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Databricks Engineering</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Develop and optimize Spark-based data transformations using PySpark and Spark SQL in Databricks.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Manage Databricks clusters, jobs, and workspace configurations for performance and cost efficiency.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Implement Delta Live Tables (DLT) pipelines for declarative, auto-scaling data transformations.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Leverage Unity Catalog for data governance, lineage tracking, and access control.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Utilize Databricks Asset Bundles (DABs) and CI/CD practices for deployment automation.</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Azure Data Factory (ADF) – (Good To Have Feature)</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Build, schedule, and monitor complex ADF pipelines with parameterized templates.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Integrate ADF with Azure Key Vault, Linked Services, and Integration Runtimes (SHIR/Azure IR).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Implement incremental load patterns, watermarking, and change data capture (CDC) strategies.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Troubleshoot pipeline failures and optimize ADF pipeline performance and cost.</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Data Quality & Governance</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Implement data quality frameworks and validation checks across pipelines.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Enforce data cataloging, lineage, and metadata management practices.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Collaborate with data governance teams to ensure compliance with data policies and regulations (GDPR, HIPAA).</span></span></li></ul><h2 style=\"margin-top:13px;margin-bottom:7px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Collaboration & Leadership</span></span></span></h2><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Mentor junior data engineers and conduct code reviews.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Work closely with data scientists and ML engineers to productionize machine learning models.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Partner with DevOps/Cloud teams on infrastructure-as-code (Terraform/Bicep) for data platform provisioning.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Document architecture decisions, pipeline designs, and operational runbooks.</span></span></li></ul><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Required Qualifications</span></span></span></h1></div><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">7+ years of hands-on experience with Azure Databricks (Spark SQL, Delta Lake, PySpark).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong proficiency in SQL preferred and Python.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Deep understanding of distributed computing principles and the Apache Spark ecosystem.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with Azure data services: ADLS Gen2, Azure Synapse, Azure SQL, Event Hubs / Kafka.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Solid understanding of data warehousing concepts and dimensional modeling.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with version control (Git) and CI/CD tools (Azure DevOps, GitHub Actions).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with infrastructure-as-code tools (Terraform or ARM/Bicep).</span></span></li></ul><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Preferred Qualifications</span></span></span></h1></div><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Databricks Certified Data Engineer Associate or Professional certification.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Microsoft Certified: Azure Data Engineer Associate (DP-203).</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with Delta Live Tables (DLT) and Databricks Workflows.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with Power BI or other BI/reporting tools.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with Scala or Java for Spark development.</span></span></li></ul><div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Technology Stack</span></span></span></h1></div><table class=\"Table\" style=\"width:6.5in;border-collapse:collapse;border:none;\" width=\"624\"><tbody><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:1px solid #bbcfe8;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Core Platforms</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:1px solid #bbcfe8;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Azure Databricks (Preferred), Azure Data Factory (ADF) (Good to have)</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Data Storage</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Azure Data Lake Storage Gen2, Delta Lake, Azure SQL, Cosmos DB</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Languages</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Python (PySpark), SQL</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Orchestration</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">ADF Triggers, Databricks Workflows, Apache Airflow</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Monitoring</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Azure Monitor, Log Analytics, Databricks Cluster Policies</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">Governance</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#FFFFFF;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Unity Catalog, Azure Purview, Azure Key Vault – (Good to have)</span></span></span></span></td></tr><tr><td style=\"border-bottom:1px solid #bbcfe8;width:167px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:1px solid #bbcfe8;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"font-size:10pt;\"><span style=\"color:#1f4e79;\">BI / Reporting</span></span></b></span></span></td><td style=\"border-bottom:1px solid #bbcfe8;width:457px;padding:5px 8px 5px 8px;background-color:#d6e4f0;border-top:none;border-right:1px solid #bbcfe8;border-left:none;\" valign=\"top\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-size:10pt;\"><span style=\"color:#000000;\">Power BI, Tableau</span></span></span></span></td></tr></tbody></table> <div style=\"border-bottom:solid #2e75b6 1pt;padding:0in 0in 4pt 0in;\"><h1 style=\"border:none;padding:0in;margin-top:19px;margin-bottom:7px;\"><span style=\"font-size:14pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#1f4e79;\">Key Competencies</span></span></span></h1></div><ul style=\"margin-top:3px;margin-bottom:3px;\"><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong analytical and problem-solving skills with attention to detail.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Excellent communication skills — ability to translate complex technical concepts to non-technical stakeholders.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Self-motivated and able to manage competing priorities in an agile environment.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Collaborative team player with a growth mindset and eagerness to mentor others.</span></span></li><li style=\"margin-top:3px;margin-bottom:3px;margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Proactive in identifying performance bottlenecks and proposing architectural improvements.</span></span></li></ul><p>***</p>\n\n<p>Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!</p>",
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Rendered from the bluedoor Job Postings API. Reproduce it:
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