AWS Data Engineer
Summary
Senior AWS data engineer (8-15 yrs) building and governing data platforms on AWS — Lake Formation governance, Neptune graph databases, Glue, Athena, S3, Lambda and Redshift, coding in Python and SQL. Hybrid role across four Indian cities with direct client stakeholder interaction.
Job Description :
AWS Data Engineer
Number of Positions : 2
Experience : 8 - 15 Years
Work Location : Hyderabad, Bengaluru, Pune & Chennai
Work Mode : Hybrid
Work Timing : 11 : 00 AM to 8 : 00 PM
Interview Mode : Virtual
Interview Rounds : 2 Internal Rounds + 1 Client Round
Required Skills & Experience :
Must-Have Skills :
- 8 - 15 years of overall experience in Data Engineering, with strong expertise in AWS.
- Hands-on experience with AWS Lake Formation, including data governance, permissions management, and LF-Tags.
- Working knowledge of Amazon Neptune, including graph data modelling and Gremlin/SPARQL query experience.
- Strong experience with core AWS data services such as AWS Glue, Athena, S3, Lambda, and Redshift.
- Strong proficiency in Python and SQL for data engineering and development activities.
- Experience in graph database development and implementation.
- Excellent communication skills and the ability to work directly with client stakeholders.
Good-to-Have Skills :
- Exposure to Amazon SageMaker for machine learning pipeline support.
- Experience with Apache Airflow for workflow orchestration.
Interview Process :
- 2 Internal Interview Rounds
- 1 Client Interview Round
- All interview rounds will be conducted virtually.