Data Developer (Oracle PL/SQL & Oracle Exadata) with ETL

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Data Developer with ETL (Oracle PL/SQL & Oracle exaData)

Location: Jersey City, NJ (Onsite/Hybrid) 4 positions

We are seeking an experienced ETL / Data Developer with strong expertise in Oracle PL/SQL and Oracle exaData to join our data engineering team. The ideal candidate will have a solid background in data integration, data transformation, and large-scale data processing within a banking or financial services environment. Exposure to AI/ML data pipelines and analytics platforms is a strong plus.

Key Responsibilities:

• Design, develop, and optimize ETL pipelines for large-scale data processing and integration.
• Develop complex Oracle PL/SQL procedures, packages, functions, and performance tuning.
• Work with Oracle exaData platform for data ingestion, transformation, and data management.
• Integrate data from multiple sources including databases, APIs, and enterprise systems.
• Implement data quality, validation, and governance standards.
• Collaborate with data architects, data scientists, and business teams to deliver scalable data solutions.
• Support data warehouse and analytics initiatives for reporting and business intelligence.
• Optimize ETL workflows and improve performance of data processing pipelines.
• Participate in production support, troubleshooting, and performance tuning.
  
  

Required Qualifications:

• 8 years of experience in ETL / Data Engineering roles.
• Strong expertise in Oracle PL/SQL development.
• Hands-on experience with Oracle exaData platform.
• Experience designing and building ETL pipelines and data integration solutions.
• Strong knowledge of data warehousing concepts and relational databases.
• Experience with performance tuning and query optimization.
• Strong problem-solving and analytical skills.
  
  

Preferred Qualifications:

• Banking / Financial Services domain experience.
• Exposure to AI/ML data pipelines or analytics platforms.
• Experience with big data technologies or cloud platforms is a plus.
• Familiarity with data governance and data quality frameworks.
  
  

Soft Skills:

• Strong communication and collaboration skills.
• Ability to work in a fast-paced enterprise environment.
• Self-driven with strong ownership and accountability.