Advanced Data Engineering Professional

3 days ago


Kanpur, India beBeeDataEngineer Full time

We are building the future of healthcare analytics with robust data pipelines that power nationwide insights and support our machine learning systems.This role involves designing, building and maintaining scalable ETL pipelines using Python (Pandas, PySpark) and SQL, orchestrated with Airflow (MWAA).Develop and maintain the 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.



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