Chief Data Engineering Specialist

4 days ago


visakhapatnam, India beBeeDataEngineering Full time

Transform healthcare analytics with us. We aim to create robust, observable pipelines that continuously improve in production.Develop scalable ETL solutions using Python (Pandas, PySpark) and SQL, orchestrated with Airflow (MWAA).Design and maintain high-quality SAIVA Data Lake/Lakehouse on AWS, ensuring scalability, governance, accessibility, and quality.Run 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 for reliable analytics and ML readiness.Monitor and troubleshoot pipelines with CloudWatch, integrating observability tools like Grafana, Prometheus, or Datadog.Requirements5+ years of experience in data engineering, ETL pipeline development, or data platform roles.Experience designing and operating data lakes or Lakehouse architectures on AWS.Strong SQL skills with PostgreSQL, SQL Server, and at least one AWS cloud warehouse.Proficiency in Python (Pandas, PySpark); Scala or Java a plus.Hands-on with Spark on AWS EMR and/or EKS for distributed processing.



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