Data Engineering Lead

3 days ago


erode, India beBeeDataEngineering Full time

Job Title Senior Data Engineer. About the Role We are building the future of healthcare analytics. Our goal is to create pipelines that are reliable, observable, and continuously improving in production. This is a fully remote role open to candidates based in Europe or India with periodic team gatherings in Mountain View California. The ideal candidate will be responsible for designing, building, and maintaining scalable ETL pipelines using Python, Pandas, PySpark, and SQL orchestrated with Airflow MWAA. The successful candidate will also develop and maintain the SAIVA Data Lake/Lakehouse on AWS ensuring quality, governance, scalability, and accessibility. Additionally, they will run and optimize distributed data processing jobs with Spark on AWS EMR and/or EKS. They will 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 Lakehouse, participate in an on-call rotation to support pipeline health and resolve incidents quickly, and write production-grade code and contribute to design/code reviews and engineering best practices.



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