- Develop and maintain ETL pipelines using Python to extract, transform, and load data from multiple sources.
- Write efficient SQL queries for data extraction, validation, reconciliation, and performance tuning.
- Implement data cleansing, transformation logic, and business rules to ensure high-quality datasets.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications and workflows.
- Monitor pipeline execution, troubleshoot failures, perform root-cause analysis, and implement preventive fixes.
- Create and maintain technical documentation for ETL jobs, data mappings, and operational runbooks.
- Follow coding standards, version control practices, and participate in code reviews to ensure maintainability.
- Support testing activities by preparing test data, validating outputs, and ensuring end-to-end data integrity.
Technical and Qualified Requirements: Python and ETL
Preferred Skills:
Technology->Analytics - Packages->Python - Big Data