Design, build, and maintain scalable data pipelines on AWS. Develop ETL/ELT solutions using AWS services. Work with large datasets using SQL and Python. Implement and optimize data warehouses and data lakes. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, security, and performance. Required Skills Strong experience with AWS (S3, Glue, Lambda, Redshift, EMR, IAM, CloudWatch). Hands-on experience with Python and SQL. Experience with Apache Spark/PySpark. Knowledge of Airflow or other workflow orchestration tools. Familiarity with Git, CI/CD, and Agile methodologies. Preferred Skills Experience with Databricks.
Pay: ₹1,010,590.46 - ₹1,871,055.76 per year
Benefits:
Work Location: In person
