Senior Data Infrastructure Specialist

1 week ago


nellore, India beBeeDataEngineer Full time

Data Engineering RoleWe are building the future of healthcare analytics at our organization.Our goal is to design, build, and scale robust data pipelines that power nationwide analytics 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).Key responsibilities include developing and maintaining the Data Lake/Lakehouse on AWS, running and optimizing distributed data processing jobs with Spark on AWS EMR and/or EKS, implementing batch and streaming ingestion frameworks, enforcing validation and quality checks, monitoring and troubleshooting pipelines, automating infrastructure provisioning with Terraform, and managing SQL Server, PostgreSQL, and Snowflake integrations into the Lakehouse.Qualifications include 5+ years in data engineering, ETL pipeline development, or data platform roles, experience designing and operating data lakes or Lakehouse architectures on AWS, strong SQL skills, proficiency in Python (Pandas, PySpark), hands-on experience with Spark on AWS EMR and/or EKS, and expertise with AWS services and Terraform.The ideal candidate will have strong communication skills, the ability to collaborate with data scientists, analysts, and product teams, and a track record of delivering production-ready, scalable AWS pipelines.



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