Building Healthcare Analytics Pipelines

7 days ago

udaipur, India beBeeDataEngineer Full time

Senior Data Engineer RoleWe're shaping the future of healthcare analytics by designing and building robust data pipelines. Our goal is to power nationwide analytics and support machine learning systems.Develop scalable ETL pipelines using Python, Pandas, PySpark, and SQL, orchestrated with Airflow.Create and maintain the Saiva Data Lake/Lakehouse on AWS, ensuring quality, governance, scalability, and accessibility.Run and optimize distributed data processing jobs with Spark on AWS EMR and/or EKS.Implement batch and streaming ingestion frameworks (APIs, databases, files, event streams).Enforce validation and quality checks for reliable analytics and ML readiness.Monitor and troubleshoot pipelines with CloudWatch, integrating observability tools like Grafana, Prometheus, or Datadog.Automate infrastructure provisioning with Terraform, following AWS best practices.Manage SQL Server, PostgreSQL, and Snowflake integrations into the Lakehouse.Participate in an on-call rotation for pipeline health and incident resolution.Responsibilities:Design and develop production-grade code.Contribute to design/code reviews and engineering best practices.Benefits:Promote collaboration, knowledge sharing, and innovation.Foster a culture of continuous learning and professional growth.

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