Location:
Hyderabad/Bangalore/Pune/Chennai Mode: Hybrid Work timing: 11 AM
- 8 PM Mandatory
Skills:
Lake Formation, AWS Neptune. Strong Python and SQL , Glue, Athena, S3, Lambda, graph database development Required Skills & Experience Must Have 5–8 years of overall data engineering experience, with a strong focus on AWS Hands-on experience with AWS Lake Formation (data governance, permissions, LF-tags) Working knowledge of Amazon Neptune (graph modeling, Gremlin/SPARQL query experience preferred) Solid experience with core AWS data services: S3, Glue, Redshift, Lamda Proficiency in Python and SQL for data engineering tasks Strong communication skills; ability to work directly with client stakeholders Nice to Have Exposure to Amazon SageMaker for ML pipeline support (nice to have, not mandatory) Experience with Apache Airflow for workflow orchestration Interested Apply now: Share