AWS Senior Data Engineer | Gurgaon | 3+ Years | Onsite

Position:

Open Roles:

Experience:

Location:

About the Role

AWS Senior Data Engineers

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, Lambda, Redshift).
• Optimize data storage, transformation, and retrieval processes for high performance and scalability.
• Write efficient queries and transformations using

  SQL

  and

  Python/PySpark

  .
• Collaborate with business and analytics teams to deliver reliable, production-ready data solutions.
• Implement best practices in data modeling, governance, and security.
• Troubleshoot and resolve performance bottlenecks in data systems.

Required Skills

• Hands-on experience with

  AWS Cloud

  services:

  Redshift, Glue, Lambda

  .
• Strong knowledge of

  SQL

  and

  Python / PySpark

  .
• Experience in designing and maintaining large-scale data pipelines.

Good to Have Skills

• Experience with

  Snowflake

  .
• Exposure to

  DBT (Data Build Tool)

  .

Interview Process

• Mode:

  Face-to-Face (Preferred) / Virtual (To be Confirmed)

• Rounds:

  3

• Drive Date:

  20th September 2025

Other Details

• Notice Period:

  Only candidates available to join between

  6th – 10th October 2025

  will be considered.

• Work Mode:

  Hybrid (4 Days from Office, Gurgaon).