Chief Data Operations Specialist

5 days ago


davangere, India beBeeDataEngineer Full time

We're shaping the future of healthcare analytics by building pipelines that are reliable, observable, and continuously improving in production.Key Responsibilities:Design, develop, and maintain large-scale ETL data pipelines using Python (Pandas, PySpark) and SQL, orchestrated with Airflow.We're seeking a skilled professional to build 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 to ensure 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 best practices.Integrate SQL Server, PostgreSQL, and Snowflake into the Lakehouse.Support pipeline health through on-call rotation and resolve incidents efficiently.



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