Senior Data Engineer

• Design, develop, orchestrate, and optimize batch and streaming data pipelines on Google Cloud
• Develop and maintain scalable, reliable, and efficient data engineering solutions
• Connect and integrate data from Oracle (OCI), on-premises SQL Server, and AWS S3
• Ensure data quality, scalability, monitoring, and governance
• Optimize storage and processing costs
• Support Data Science and Data Analytics teams by preparing information for business consumption
• Develop Dataflow pipelines to extract data from Oracle and SQL Server, transform it, and load it into BigQuery
• Structure analytical models in BigQuery across Raw, Bronze, Silver, and Gold layers
• Implement orchestrations in Cloud Composer with ordered execution, monitoring, and failure handling
• Document tables, metadata, and data assets using Dataplex and/or Data Catalog

• Strong experience with Google Cloud Platform (GCP)
• 3–5 years of professional experience
• Proficiency in Python
• Advanced SQL (BigQuery)
• Version control with Git / CI/CD
• Experience with BigQuery, Dataflow, Dataproc, and Pub/Sub
• Experience with real-time and batch ETL/ELT pipelines
• Experience integrating Oracle, SQL Server, and MySQL via JDBC or custom solutions
• Experience with Cloud Storage and Data Lakes
• Knowledge of partitioning and clustering in BigQuery
• Knowledge of Dataproc (Spark/Hadoop) and NoSQL databases (Bigtable, Firestore)
• Experience with dbt or Dataform
• Experience with Cloud Composer (Airflow) or Workflows
• Knowledge of Cloud Functions and Cloud Run
• Bachelor’s degree preferred
• Experience with or knowledge of hospital information systems and healthcare is a plus

• Full-time position
• Opportunity to work on challenging and innovative projects
• Highly skilled team
• Collaborative culture focused on continuous learning
• Professional growth opportunities