- Develop and maintain production ETL pipelines.
- Build data processing solutions using Python and SQL.
- Design database schemas, transaction tables and fact tables.
- Develop and manage workflows using Apache Airflow.
- Use pandas and SQLAlchemy for data processing.
- Implement data validation, reconciliation and audit controls.
- Monitor pipeline performance and troubleshoot failures.
- Develop internal tools to support data operations.
Requirements
- 6+ years of Data Engineering experience.
- Solid Python and SQL skills.
- Experience with ETL pipelines and data modelling.
- Hands-on knowledge of Apache Airflow.
- Experience with pandas and SQLAlchemy.
- Understanding of production data systems and data quality.
Pay: From ₹231,667.00 per month
Work Location: In person
📌 Senior Data Engineer (Bengaluru)
🏢 GUNVESA IT SYSTEMS
📍 Bengaluru
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