Job Summary:We are looking for a skilled AWS Data Engineer with strong experience in building and managing cloud-based ETL pipelines using AWS Glue Python/PySpark and Athena along with data warehousing expertise in Amazon Redshift. The ideal candidate will be responsible for designing developing and maintaining scalable data solutions in a cloud-native and implement ETL workflows using AWS Glue Python and and optimize queries using Amazon Athena and scalable data pipelines to ingest transform and load data from various data quality integrity and security across AWS with data analysts data scientists and business stakeholders to deliver data and troubleshoot ETL jobs and cloud infrastructure data workflows and integrate with CI/CD Skills & Qualifications:Hands-on experience with AWS Glue Athena and programming skills in Python and with ETL design implementation and with S3 Lambda CloudWatch and other AWS of data warehousing concepts and performance tuning in with schema design partitioning and query optimization in in version control (Git) and agile development practices.