Job Description:Design, develop, and maintain ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR).Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable).Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc.).Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS.Strong proficiency in SQL, Python, and PySpark.Expertise in AWS data ecosystem including Glue, Redshift, S3, Lambda, EMR, and Athena.
