Key Responsibilities

Technical Leadership & Ownership

• Own the end-to-end data engineering architecture for large-scale AWS data platforms
• Define and enforce data engineering standards, best practices, and governance frameworks
• Lead design reviews, code reviews, and technical decision-making across teams
• Act as the primary technical escalation point for complex data pipeline issues

ETL/ELT Design & Development

• Design, build, and optimize scalable ETL/ELT pipelines using:
• AWS Glue (Jobs, Workflows, Crawlers)
• PySpark / Spark SQL, Snowflake, SnowsQL
• Python- based data processing frameworks
• Implement incremental processing, CDC, and data partitioning strategies
• Develop reusable and modular data pipeline frameworks for enterprise use

Data Lake & Storage Management