Job Description: Design, develop, and maintain ETL (Extract, Transform, Load) pipelines using AWS services like Glue, Lambda, Step Functions, and Data Pipeline . Automate data ingestion from various sources such as databases, APIs, logs, and streaming data. Optimize data processing for performance and cost efficiency Work with Amazon Redshift, Athena, or Snowflake to build and optimize data warehouses for analytics. Optimize queries, indexing, and partitioning for performance improvements. Work with Data Scientists, Analysts, and Software Engineers to deliver data solutions. Understand business requirements and translate them into scalable data solutions . Maintain documentation and ensure best practices for data engineering in AWS. Strong SQL skills
