Data Engineer

We are seeking an experienced Data Engineer with 8+ years of expertise in Enterprise Analytics Solutions. The ideal candidate will have hands-on experience working with Oracle
Analytics Server (OAS), Oracle Analytics Cloud (OAC), Oracle Data Integrator (ODI), and Oracle GoldenGate (OGG). This role requires proficiency in data warehousing, performance tuning, and integrating diverse data sources into an Enterprise Data Warehouse.

As a Data Engineer, you will be responsible for designing, implementing, and optimizing data pipelines, troubleshooting performance issues, and ensuring seamless data integration.
This role also involves working closely with clients and stakeholders to gather requirements and provide scalable and efficient data solutions.


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Job Description :

  • 8+ years of experience in Enterprise Analytics solutions.
  • Expertise in Oracle Analytics Server (OAS), Oracle Analytics Cloud (OAC), Oracle Data Integrator (ODI), and Oracle GoldenGate (OGG).
  • Strong knowledge of data warehousing concepts and enterprise data warehouse implementations.
  • Hands-on experience in Oracle database development, including writing procedures, functions, and performance tuning.
  • Strong understanding of ETL processes, data modeling, and integration techniques.
  • Ability to gather business requirements, perform fit-gap analysis, and design efficient data solutions.
  • Proficiency in performance tuning, troubleshooting issues, and providing effective workarounds.
  • Strong problem-solving skills and ability to make timely decisions.
  • Excellent communication skills to interact effectively with clients and stakeholders.
  • Design, develop, and implement Enterprise Analytics solutions using Oracle technologies.
  • Integrate and merge diverse data sources into an Enterprise Data Warehouse.
  • Conduct requirements gathering, fit-gap analysis, and business process design.
  • Develop and optimize Oracle database procedures, functions, and performance tuning.
  • Implement Data Warehousing concepts, including data modeling, ETL development, and optimization.
  • Troubleshoot and resolve data integration, transformation, and warehouse issues efficiently.
  • Collaborate with stakeholders to ensure data accuracy, integrity, and scalability.
  • Maintain and optimize data pipelines for efficient performance.
  • Work closely with onshore and offshore teams to ensure smooth project execution.



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