Senior AWS Data Engineer- Data Bricks

We are seeking an AWS Data Engineer Senior with a strong background in AWS, PySpark, and Redshift. The ideal candidate will have hands-on experience in building and optimizing data pipelines, developing robust ETL workflows, and leveraging modern data engineering tools and platforms. Exposure to dbt (Data Build Tool) is a plus, as the role involves collaboration on end-to-end data transformation and modelling workflows. Must have experience • Design, build, and maintain scalable pipelines using PySpark on AWS. • Knowlede of Databricks on AWS is a must have • Work with AWS services such as S3, Glue, EMR, and Redshift for data storage, transformation, and querying. • Hands-on experience with Redshift, including performance tuning and data modelling. Strong SQL skills with experience in querying and optimizing large datasets. • Manage and monitor data workflows using orchestration tools like Apache Airflow • Knowledge of CI/CD workflows for data engineering projects. • Utilize Git for version control, ensuring proper collaboration and tracking of code changes. • Establish and follow best practices for repository management, branching, and code reviews. • Good to have DBT Exposure -Contribute to DBT transformations and assist in setting up data modeling workflows. • Working experience on Agile and Scrum methodologies.If you're interested, please share your resume to anusri.arulchelvam@gds.ey.com