Design, build, and maintain scalable, reliable, and efficient data pipelines for ETL/ELT processes.

Develop and optimize data ingestion, transformation, and storage solutions for structured and unstructured data.

Collaborate with Data Scientists, Analysts, and Software Engineers to ensure seamless data integration and availability.

Implement data modeling, schema design, and database optimizations for performance and scalability.

Work with relational database Oracle.

Ensure data governance, security, and compliance with industry standards.

Automate data workflows using Autosys or TWS, Prefect, or similar orchestration tools.

Monitor and troubleshoot data pipeline issues to ensure high availability and reliability.

Stay updated with emerging data technologies and best practices to improve data architecture.