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HomeCompaniesEfds Fa Em5 Oraclecloud Com CX 1Data 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

FieldValue
CompanyEfds Fa Em5 Oraclecloud Com CX 1
TitleData Engineer
Normalized title-
Department / teamEnterprise Technology
LocationChennai, TN, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-04 / 2026-06-04
Changed / last seen2026-06-04 / 2026-06-04

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City jobsActive postings in Chennai.Open
Department jobsActive postings in Enterprise Technology.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEfds Fa Em5 Oraclecloud Com CX 1
Sourced8110a61-5510-417b-a74c-f58816339c6b
ATS providerOracle 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 IDd16ea5ae9895cc19330d88ba7abd2f4d80e35cbd
Org IDfc791186-3bfa-4e9d-8648-0d2f6f66937d
Source IDd8110a61-5510-417b-a74c-f58816339c6b
Board IDd8110a61-5510-417b-a74c-f58816339c6b
Provideroracle_hcm
Provider Job Key64865
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextIndia; GTBC Office Building 02, Chennai, TN, IN
DepartmentEnterprise Technology
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionTN
CityChennai
Salary RawDescription 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 URLhttps://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/64865
Apply URLhttps://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/64865
First Seen At2026-06-04 10:57:56Z
Last Seen At2026-06-04 10:57:56Z
Last Checked At2026-06-04 10:57:56Z
Last Changed At2026-06-04 10:57:56Z
Inactive At
Source Posted At2026-06-04 07:24:11Z
Source Updated At
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