Design, develop, and maintain scalable data pipelines on GCP: BigQuery, Cloud Composer, Cloud Run.
Implement and manage data transformation with Dataform or dbt for quality and reuse.
Lead SQL Server migrations to GCP, including schema conversion and data transfer.
Develop, test, and deploy Python data ingestion scripts.
Manage data storage in Google Cloud Storage for accessibility and cost.
Monitor pipelines and data integrity with Google Cloud Logging and other tools.

🎯 Requirements

Bachelor's degree in CS, Engineering, or related field, or equivalent.
5+ years as a Data Engineer or similar role.
Strong GCP data services: BigQuery, Cloud Composer, Cloud Run, GCS, Cloud Logging.
Proficiency in SQL Server (incl. migrations to cloud data warehouses).
Strong Python for data manipulation and scripting.
Data transformation tools: Dataform or dbt.

🎁 Benefits

Equal Opportunity employer.

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