Work Location: Hyderabad, Bangalore, Pune & Chennai
Experience: 8-15 years
Required Skills & Experience
Must have skills: Lake Formation, AWS Neptune. Strong Python and SQL , Glue, Athena, S3, Lambda, graph database development
Positive to have skills: Sagemaker and airflow
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)
- Strong 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
This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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