AWS Data Engineer role focused on Data Lake development and Apache Iceberg enhancements.
Must have deep hands-on experience with AWS Data Services including S3, Lambda, MWAA, CloudFormation, CloudWatch, EventBridge, and SNS.
Must have robust hands-on experience in PySpark, with proven expertise in developing AWS Glue jobs for large-scale data processing and preparation. Python knowledge is desirable and will be considered an added advantage.
Experience with any popular ETL tool is expected, along with solid knowledge of data lake architecture and modern table formats.
Candidate must be comfortable with Git and Azure DevOps for version control