Design, develop, and maintainrobust ETL/ELT pipelines to ingest data from multiple sources (databases, APIs, flat files, streaming sources).

Build and optimizedata warehouses and data lakes to support business intelligence and analytics use cases.

Ensuredata quality, integrity, accuracy, and availability through validation, monitoring, and alerting mechanisms.

Collaborate closely withData Analysts, Data Scientists, and Business Stakeholders to understand data requirements and deliver scalable solutions.

Optimize data processing performance, including query tuning and pipeline efficiency.

Implement and maintaindata security, access controls, and governance standards .

Automate workflows and data operations to improve reliability and reduce manual intervention.

Troubleshoot and resolve data pipelin...