ETL Data engineer

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 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