Data Engineer focused on migrating and modernizing data workflows to GCP services. Collaborating with architects and business leaders to ensure data quality and performance for the US-based company's data strategy.
Responsibilities
Migrate and modernize large-scale data workflows to GCP services like BigQuery, Dataflow, Dataproc, and Composer (Airflow)
Reengineer SQL logic, automate workflows with Python, and optimize performance across the board
Collaborate with architects and business leaders to ensure data quality, performance, and security
Requirements
4–6+ years of Data Engineering experience, with 2+ years in GCP.
Strong background in Teradata, advanced SQL, and scripting in Python/Java.
Solid experience with GCP-native tools, CI/CD, and DevOps in data environments.
GCP Professional Data Engineer Certification (preferred)
Experience with Kafka, AI/ML on GCP, and the healthcare domain (preferred)
Knowledge of data governance in cloud ecosystems (preferred)
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