Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
Design, build, and operate end-to-end data pipelines (ingestion → transformation → serving) on Databricks and/or Snowflake, following medallion/layered architecture patterns
Serve as a Staff Data Engineer leading the design and implementation of scalable data platforms, governed data products, and advanced analytics capabilities that drive semiconductor engineering insights.
Plan and execute the migrationof enterprise data assets to GCP, including data ingestion, transformation,validation, reconciliation, and cutover support.
Design, develop and maintain efficient and reliable ETL processes and data pipelines for the ingestion, transformation, and integration of data from multiple source agencies.