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

Good 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