Data Engineering Execution

This role focuses on building and maintaining robust data ingestion frameworks and high-throughput ELT/ETL pipelines using technologies like ADF, Databricks, and Spark. The position involves implementing complex transformations with PySpark, architecting data quality checks, and integrating data from various on-premise and cloud-based systems. It also requires translating raw datasets into analytics-ready models with consistent KPI definitions and business logic.