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Senior Data Engineer
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- We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake.
- Proficiency in workflow management tools like Airflow a is essential.
- Leverage AWS or Azure cloud services for data storage, processing, and analytics, optimizing cost and performance.
- Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications.
- Establish and enforce data engineering best practices, ensuring compliance with data privacy and security regulations specific to the healthcare industry.
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