Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines using PySpark and AWS.
- Build and optimize data processing workflows for large-scale datasets.
- Develop and maintain data models to support business and analytical requirements.
- Write optimized SQL queries for data extraction, transformation, and validation.
- Ensure data quality, pipeline performance, and production reliability.
- Troubleshoot and resolve ETL pipeline issues while optimizing performance.
- Collaborate with cross-functional teams to deliver scalable data engineering solutions.
- Follow best practices for coding, testing, deployment, and documentation.
Skillset:
- PySpark
- SQL
- AWS
- ETL Development
- Data Modeling
📌 ETL Data engineer (Chennai)
🏢 Latentview
📍 Chennai
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