Home › Companies › Efds Fa Em5 Oraclecloud Com CX 1 › Data Engineer
Data Engineer
Efds Fa Em5 Oraclecloud Com CX 1 · India; GTBC Office Building 02, Chennai, TN, IN · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Efds Fa Em5 Oraclecloud Com CX 1 |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Enterprise Technology |
| Location | Chennai, TN, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-04 / 2026-06-04 |
| Changed / last seen | 2026-06-04 / 2026-06-04 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Efds Fa Em5 Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Chennai. | Open |
| Department jobs | Active postings in Enterprise Technology. | 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 | Efds Fa Em5 Oraclecloud Com CX 1 |
| Source | d8110a61-5510-417b-a74c-f58816339c6b |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
The Data Engineer is responsible to build, scalable and resilient data infrastructure that enables self-service data access.The focus is on automating the data pipelines ensuring data quality/governance and improving performance.The Data Platform Engineer works across business, technology, and analytics teams to create data models / data product, standards, and architectures that empower advanced analytics, AI, automation, and digital transformation
Responsibilities
Data Strategy and Architecture Design: Developing and optimizing database models and overall data architecture to store and retrieve company information efficiently.
This includes creating blueprints for developing, testing, and maintaining databases.
Translating Business Requirements: Collaborating with business leaders and teams to translate information requirements into data-centric solutions, including
databases, data warehouses, and data streams.
Data Modelling and Management: Designing conceptual and logical data models and flowcharts, defining database structures, and creating procedures to ensure data
accuracy and accessibility.
Ensuring Data Quality, Integrity, and Security: Focusing on improving data quality, accessibility, and security across all systems and platforms. This involves defining
security and backup procedures and ensuring compliance with data regulations like GDPR and data governance guidelines.
System Implementation and Optimization: Installing and configuring information systems, migrating data from legacy systems to new solutions, and improving system
performance through testing, troubleshooting, and integrating new elements.
Collaboration and Coordination: Working closely with product mangers, product owners, software developers, and other IT teams to implement data-related solutions
and realize end-to-end data strategies.
Technology Evaluation: Evaluating and recommending new technologies to enhance data management and supporting data analytics, AI solutions, and business
intelligence projects with a well-designed data landscape.
• • Adherence to Standards: Ensuring that industry-accepted data architecture principles and standards are integrated and followed for modelling, stored procedures,
replication, regulations, and security.
Qualifications
Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field. 3-5 years of experience in data engineering, or database development. Expertise in database technologies (SQL, NoSQL), data mining, and programming languages like Java. Proficiency in data modelling (Canonical Data Model, Semantic Data Model) and schema design. Familiarity with ETL (Extract, Transform, Load) tools and processes for efficiently transforming and loading data. Hands-on experience with cloud data platforms (GCP) and modern data processing tools. Solid understanding of data governance, data quality, metadata management and master data management(MDM),
referenced data management, transactions data management. Experience with data lake house architectures, data mesh, or data fabric. Familiarity with structural and non structural like big data tools (Hadoop/Spark, Kafka, Databricks, Big Query). Experience supporting AI/ML workloads with high-quality data structures. Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Ability to create clear architecture artifacts and documentation. Adaptability and a commitment to continuous learning to stay updated with evolving technologies.
Full job record
| Job ID | d16ea5ae9895cc19330d88ba7abd2f4d80e35cbd |
| Org ID | fc791186-3bfa-4e9d-8648-0d2f6f66937d |
| Source ID | d8110a61-5510-417b-a74c-f58816339c6b |
| Board ID | d8110a61-5510-417b-a74c-f58816339c6b |
| Provider | oracle_hcm |
| Provider Job Key | 64865 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | India; GTBC Office Building 02, Chennai, TN, IN |
| Department | Enterprise Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | TN |
| City | Chennai |
| Salary Raw | Description The Data Engineer is responsible to build, scalable and resilient data infrastructure that enables self-service data access.The focus is on automating the data pipelines ensuring data quality/governance and improving performance.The Data Platform Engineer works across business, technology, and analytics teams to create data models / data product, standards, and architectures that empower advanced analytics, AI, automation, and digital transformation Responsibilities Data Strategy and Architecture Design: Developing and optimizing database models and overall data architecture to store and retrieve company information efficiently. This includes creating blueprints for developing, testing, and maintaining databases. Translating Business Requirements: Collaborating with business leaders and teams to translate information requirements into data-centric solutions, including databases, data warehouses, and data streams. Data Modelling and Management: Designing conceptual and logical data models and flowcharts, defining database structures, and creating procedures to ensure data accuracy and accessibility. Ensuring Data Quality, Integrity, and Security: Focusing on improving data quality, accessibility, and security across all systems and platforms. This involves defining security and backup procedures and ensuring compliance with data regulations like GDPR and data governance guidelines. System Implementation and Optimization: Installing and configuring information systems, migrating data from legacy systems to new solutions, and improving system performance through testing, troubleshooting, and integrating new elements. Collaboration and Coordination: Working closely with product mangers, product owners, software developers, and other IT teams to implement data-related solutions and realize end-to-end data strategies. Technology Evaluation: Evaluating and recommending new technologies to enhance data management and supporting data analytics, AI solutions, and business intelligence projects with a well-designed data landscape. • • Adherence to Standards: Ensuring that industry-accepted data architecture principles and standards are integrated and followed for modelling, stored procedures, replication, regulations, and security. Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field. 3-5 years of experience in data engineering, or database development. Expertise in database technologies (SQL, NoSQL), data mining, and programming languages like Java. Proficiency in data modelling (Canonical Data Model, Semantic Data Model) and schema design. Familiarity with ETL (Extract, Transform, Load) tools and processes for efficiently transforming and loading data. Hands-on experience with cloud data platforms (GCP) and modern data processing tools. Solid understanding of data governance, data quality, metadata management and master data management(MDM), referenced data management, transactions data management. Experience with data lake house architectures, data mesh, or data fabric. Familiarity with structural and non structural like big data tools (Hadoop/Spark, Kafka, Databricks, Big Query). Experience supporting AI/ML workloads with high-quality data structures. Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Ability to create clear architecture artifacts and documentation. Adaptability and a commitment to continuous learning to stay updated with evolving technologies. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/64865 |
| Apply URL | https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/64865 |
| First Seen At | 2026-06-04 10:57:56Z |
| Last Seen At | 2026-06-04 10:57:56Z |
| Last Checked At | 2026-06-04 10:57:56Z |
| Last Changed At | 2026-06-04 10:57:56Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 07:24:11Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=oracle_hcm/board=efds.fa.em5.oraclecloud.com|CX_1/date=2026-06-04/2026-06-04T10-56-23-246Z-dd523cdcd472316ed2debe3c6671673075cf9f84326da39fd678c84dd8906f35.json |
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