Principal Data Architect

5 days ago

kochi, India beBeeDataEngineer Full time

Imagine shaping the future of healthcare analytics as a skilled data engineer.About the Role:We are building a robust data pipeline to power nationwide analytics and support our machine learning systems.Key Responsibilities:Data Pipeline Development: Design, build, and maintain scalable ETL pipelines using Python (Pandas, PySpark) and SQL, orchestrated with Airflow (MWAA).Data Lake Management: Develop and maintain the SAIVA Data Lake/Lakehouse on AWS, ensuring quality, governance, scalability, and accessibility.Distributed Processing: Run and optimize distributed data processing jobs with Spark on AWS EMR and/or EKS.Ingestion Frameworks: Implement batch and streaming ingestion frameworks (APIs, databases, files, event streams).Quality Checks: Enforce validation and quality checks to ensure reliable analytics and ML readiness.Pipeline Monitoring: Monitor and troubleshoot pipelines with CloudWatch, integrating observability tools like Grafana, Prometheus, or Datadog.Infrastructure Automation: Automate infrastructure provisioning with Terraform, following AWS best practices.Database Integrations: Manage SQL Server, PostgreSQL, and Snowflake integrations into the Lakehouse.About Our Team:We're looking for a talented data engineer who can contribute to our mission to create robust data pipelines that power nationwide analytics. If you have experience in developing and maintaining scalable ETL pipelines, working with cloud-based data lakes, and optimizing distributed data processing jobs, we'd love to hear from you

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