USI-CTS - AWS Data Engineer - Lake Formation & Neptune

Required Skills

& Experience 3–8 years of overall data engineering experience, with a strong focus on AWSHands-on experience with AWS Lake Formation (data governance, permissions, LF-tags). Working knowledge of Amazon Neptune (graph modeling, Gremlin/SPARQL query experience preferred). Exposure to Amazon Sage. Maker for ML pipeline support (nice to have, not mandatory).

Experience with Apache Airflow for workflow orchestration. Strong experience with core AWS data services: S3, Glue, Redshift, Athena, IAMProficiency in Python and SQL for data engineering tasks. Strong communication skills; ability to work directly with client stakeholders