AWS DATA ENGINEER | 5+ Years | Hyderabad, Delhi, Noida, Gurgaon | 23 LPA

Job Title:

Location:

About Our Client

Our Client is a leading technology consulting and services company guided by an ‘experience-led everything’ philosophy. We believe that true success comes from placing our clients at the center of everything we do and taking ownership of their outcomes. While technology drives transformation, it’s the focus on meaningful experiences — both for our clients and our workforce — that shapes our approach, solutions, and culture.

Headquartered in Pune, India, our diverse team of over 10,000 professionals across 30+ global locations collaborate to design digital experiences that are engineered into scalable solutions to deliver superior engagement. Serving 145+ leading enterprises, our products and services also reflect our commitment to delivering value, championing sustainability, and putting people first.

Must Have Skills & Experience:

• Minimum

  5+ years of experience

  as a Data Engineer
• Strong expertise in

  PySpark

  with hands-on experience building Spark applications using Spark DataFrames in Python
• Proven experience with

  AWS Glue

• Solid proficiency in Python

• Strong hands-on experience in PySpark development

• AWS Certifications

  (Data Analytics, Solutions Architect, etc.)
• Demonstrated contributions to

  AWS Data Engineering projects

• Hands-on experience with

  AWS Athena, AWS EMR, and Amazon Redshift

• Stability in career – minimum 3+ years tenure in at least one organisation

• Strictly looking for candidates located in Hyderabad, Delhi, Noida, or Gurugram