Chief Data Infrastructure Specialist

1 week ago


nadiad, India beBeeDataEngineer Full time

Cloud Data EngineerWe're seeking an experienced Cloud Data Engineer to design, build, and scale robust data pipelines that power nationwide analytics and support our machine learning systems. Our goal is to create pipelines that are reliable, observable, and continuously improving in production.We're using Python (Pandas, PySpark) and SQL to build scalable ETL pipelines orchestrated with Airflow.The SAIVA Data Lake/Lakehouse on AWS is maintained by the team, ensuring quality, governance, scalability, and accessibility.Distributed data processing jobs with Spark on AWS EMR and/or EKS are run and optimized.Batch and streaming ingestion frameworks (APIs, databases, files, event streams) are implemented.Validation and quality checks ensure reliable analytics and ML readiness.Pipelines are monitored and troubleshooted with CloudWatch, integrating observability tools like Grafana or Datadog.Requirements:5+ 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 and at least one AWS cloud warehouse.Proficiency in Python (Pandas, PySpark); Scala a plus.



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