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Data Engineer

Avahi · Remote · Active · BambooHR

Job facts

FieldValue
CompanyAvahi
TitleData Engineer
Normalized title-
Department / teamService Delivery
LocationPune, India
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-13 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Avahi.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Pune.Open
Department jobsActive postings in Service Delivery.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAvahi
Source1ff33ef5-d4b0-41b4-a99e-c261cfdc1f84
ATS providerBambooHR

Description

This position is open to candidates based in India only. Applications from outside India will not be considered. Company Overview At Avahi, we’re redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Reselling, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first. As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our values—Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. Key Responsibilities Design, build, and maintain scalable AWS data platforms supporting batch and streaming pipelines, analytics, and AI/ML workloads, aligned with AWS Well-Architected best practices. Build and operate data ingestion, transformation, and enrichment pipelines from internal systems and external APIs, handling structured, semi-structured, unstructured, and graph data. Implement data normalization workflows to ensure consistent schemas, high data quality, and reliable analytics, BI, and ML use cases. Design and enforce data governance including cataloging, lineage, access control, and auditability. Build and maintain knowledge graphs to model relationships across core business entities, enabling advanced analytics and inference. Identify data gaps, inconsistencies, and missing relationships using strong analytical and inference skills. Integrate data from enterprise platforms such as CRM and ERP systems (Salesforce, HubSpot, SAP, NetSuite, Dynamics 365, Workday). Design secure data access layers for analytics, BI, ML, and downstream applications. Implement monitoring, observability, and data quality checks for freshness, completeness, and pipeline health. Optimize data architectures for performance and cost efficiency using partitioning, indexing, compression, and storage tiering. Build internal tooling, dashboards, and standardized scaffolding to improve visibility, maintainability, and onboarding. Collaborate with cross-functional teams to deliver high-impact data solutions and share best practices, documentation, and technical guidance. Required Skills & Qualifications Strong experience designing and operating AWS data platforms, including S3, Glue, Lake Formation, Athena, Redshift, EMR, Kinesis/MSK, DynamoDB, OpenSearch, and Neptune. Strong Python skills for data engineering, focused on modular, testable, and maintainable code. Solid understanding of distributed data systems, including batch and streaming pipelines, fault tolerance, idempotency, and event-driven architectures. Experience with data warehouse and lakehouse architectures, ETL/ELT pipelines, and analytical query engines. Hands-on experience with Spark, Hadoop, Hive, or Flink. Strong data modeling skills, including normalized, denormalized, and graph-based models, with safe schema evolution. Advanced SQL skills for analytics and data engineering, including window functions, CTEs, and query optimization. Experience integrating external APIs and enterprise systems, especially CRM and ERP platforms. Knowledge of data governance, security, and compliance, including encryption, access control, and audit logging. Experience implementing monitoring, observability, and data quality checks using CloudWatch and CloudTrail. Comfort with Infrastructure as Code using CloudFormation or Terraform. Strong end-to-end ownership mindset, with a focus on scalability, reliability, and long-term maintainability. Professional-level English communication skills, able to explain data architectures and trade-offs to technical and non-technical stakeholders. Why Work Here Remote-First Flexibility: Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere. Innovative Culture: We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions. Career Development: Avahi is committed to your growth, offering mentorship and opportunities to advance your career. Purpose-Driven Mission: Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices. Global Collaboration: Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact. Join Avahi and make an impact in a fast-paced, customer-focused environment with abundant opportunities for growth. Accessibility and Inclusivity Statement At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities. We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs. #LI-Remote

Full job record

Job IDdd53000cc2c94e99bc77c07795a73240e5a82696
Org ID36ed55c8-5c42-4c18-a3e6-923a7f2e16dd
Source ID1ff33ef5-d4b0-41b4-a99e-c261cfdc1f84
Board ID1ff33ef5-d4b0-41b4-a99e-c261cfdc1f84
Providerbamboohr
Provider Job Key159
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentService Delivery
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryIndia
Region
CityPune
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://Avahi.bamboohr.com/careers/159
Apply URLhttps://Avahi.bamboohr.com/careers/159
First Seen At2026-05-30 05:43:21Z
Last Seen At2026-06-06 10:33:12Z
Last Checked At2026-06-06 10:33:12Z
Last Changed At2026-05-30 05:43:21Z
Inactive At
Source Posted At2026-05-13 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=avahi/date=2026-06-06/2026-06-06T10-33-10-883Z-45d46442987f16c8f4958d6321128dc54ff7a338e8073ec5d80f08ecb9a108d3.json
Event Fields
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  "active_status": "active"
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Parsed Structured
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Extensions
{}
Native Structured
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    "description": "<p><span style=\"font-weight: bold\">This position is open to candidates based in India only. Applications from outside India will not be considered.</span></p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">Company Overview</span></p>\n<p>At Avahi, we’re redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Reselling, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first.</p>\n<p><br></p>\n<p>As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our values—Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity &amp; Inclusion—we empower businesses to embrace the full potential of a cloud-first approach.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li>Design, build, and maintain scalable AWS data platforms supporting batch and streaming pipelines, analytics, and AI/ML workloads, aligned with AWS Well-Architected best practices.</li>\n<li>Build and operate data ingestion, transformation, and enrichment pipelines from internal systems and external APIs, handling structured, semi-structured, unstructured, and graph data.<br>Implement data normalization workflows to ensure consistent schemas, high data quality, and reliable analytics, BI, and ML use cases.</li>\n<li>Design and enforce data governance including cataloging, lineage, access control, and auditability.</li>\n<li>Build and maintain knowledge graphs to model relationships across core business entities, enabling advanced analytics and inference.</li>\n<li>Identify data gaps, inconsistencies, and missing relationships using strong analytical and inference skills.</li>\n<li>Integrate data from enterprise platforms such as CRM and ERP systems (Salesforce, HubSpot, SAP, NetSuite, Dynamics 365, Workday).</li>\n<li>Design secure data access layers for analytics, BI, ML, and downstream applications.<br>Implement monitoring, observability, and data quality checks for freshness, completeness, and pipeline health.</li>\n<li>Optimize data architectures for performance and cost efficiency using partitioning, indexing, compression, and storage tiering.</li>\n<li>Build internal tooling, dashboards, and standardized scaffolding to improve visibility, maintainability, and onboarding.</li>\n<li>Collaborate with cross-functional teams to deliver high-impact data solutions and share best practices, documentation, and technical guidance.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required Skills &amp; Qualifications</span></p>\n<ul>\n<li>Strong experience designing and operating AWS data platforms, including S3, Glue, Lake Formation, Athena, Redshift, EMR, Kinesis/MSK, DynamoDB, OpenSearch, and Neptune.</li>\n<li>Strong Python skills for data engineering, focused on modular, testable, and maintainable code.</li>\n<li>Solid understanding of distributed data systems, including batch and streaming pipelines, fault tolerance, idempotency, and event-driven architectures.</li>\n<li>Experience with data warehouse and lakehouse architectures, ETL/ELT pipelines, and analytical query engines.</li>\n<li>Hands-on experience with Spark, Hadoop, Hive, or Flink.</li>\n<li>Strong data modeling skills, including normalized, denormalized, and graph-based models, with safe schema evolution.</li>\n<li>Advanced SQL skills for analytics and data engineering, including window functions, CTEs, and query optimization.</li>\n<li>Experience integrating external APIs and enterprise systems, especially CRM and ERP platforms.</li>\n<li>Knowledge of data governance, security, and compliance, including encryption, access control, and audit logging.</li>\n<li>Experience implementing monitoring, observability, and data quality checks using CloudWatch and CloudTrail. </li>\n<li>Comfort with Infrastructure as Code using CloudFormation or Terraform.</li>\n<li>Strong end-to-end ownership mindset, with a focus on scalability, reliability, and long-term maintainability.</li>\n<li>Professional-level English communication skills, able to explain data architectures and trade-offs to technical and non-technical stakeholders.</li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Why Work Here</span></p>\n<ol>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Remote-First Flexibility:</span> <br>Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere. </span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Innovative Culture:</span> <br>We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions. </span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Career Development:</span> <br>Avahi is committed to your growth, offering mentorship and opportunities to advance your career.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Purpose-Driven Mission:</span> <br>Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices. </span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Global Collaboration:</span> <br>Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact. </span></li>\n</ol>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Join Avahi and make an impact in a fast-paced, customer-focused environment with abundant opportunities for growth.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Accessibility and Inclusivity Statement</span><br><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs.</span></p>\n<p><br></p>\n<p>#LI-Remote</p>",
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}
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