Chief Data Pipeline Architect

2 weeks ago

kannur, India beBeeDataEngineer Full time

About Our Data Engineering PositionWe are building the future of healthcare analytics to provide quality services to our clients.Design, build, and scale robust data pipelines using Python (Pandas, PySpark) and SQL, orchestrated with Airflow.Develop and maintain a scalable data lake on AWS, ensuring quality, governance, scalability, and accessibility.This is a fully remote role, open to candidates based in Europe or India, with periodic team gatherings in Mountain View, California.Key ResponsibilitiesRun 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 AWS best practices.Manage SQL Server, PostgreSQL, and Snowflake integrations into the data lake.Participate in an on-call rotation to support pipeline health and resolve incidents quickly.Write production-grade code, and contribute to design/code reviews and engineering best practices.

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