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.