Build and maintain batch and real-time data pipelines using Spark, Databricks, and Snowflake.
Ingest, transform, and deliver structured and semi-structured data across cloud platforms.
Optimize pipelines for scalability and cost efficiency.
Use Airflow, Temporal, and dbt to automate scheduling, monitoring, and versioning.
Enforce data quality, lineage, and schema enforcement.
Support HIPAA and GDPR compliance with secure data handling and access controls.

🎯 Requirements

Bachelor’s degree in CS, Engineering, or related field.
2-5 years experience in data engineering or data platforms.
Healthcare data domain/EHR exposure preferred.
Python and SQL for data workflows.
Spark/Databricks for distributed processing.
Airflow, Temporal, and dbt for orchestration.
Azure Data Factory and Databricks on Azure.
FHIR/HL7/ICD/SNOMED familiarity.

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