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Data Engineer

People Prime Worldwide

2 - 5 years

Bengaluru

Posted: 27/12/2025

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Job Description

About Client:

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.


  • Job Title : Data Engineer
  • Key Skills : GCP, BigQuery, Airflow, Cloud Composer, Java, Python.
  • Job Locations : Pune, Chennai, Coimbatore, Bangalore.
  • Experience : 8+ Years.
  • Education Qualification : Any Graduation.
  • Work Mode : hybrid.
  • Employment Type : Contract.
  • Notice Period : Immediate to 15 Days


Technical Skills:

Key Responsibilities

Design and develop scalable data pipelines on GCP

Build and optimize datasets using BigQuery

Implement workflow orchestration using Airflow / Cloud Composer

Write efficient, production-ready code using Java or Python

Optimize BigQuery queries for performance and cost

Work closely with analytics, data science, and product teams

Ensure data quality, reliability, and governance standards

Troubleshoot and resolve pipeline failures in production

Mandatory Skills

Strong experience with Google Cloud Platform (GCP)

Hands-on expertise in BigQuery

Experience with Airflow (preferably GCP Composer)

Strong coding skills in Java OR Python (any one mandatory)

Advanced SQL skills (especially on BigQuery)

Good to Have

Experience with Dataflow / Dataproc

Knowledge of GCP security and IAM

Experience handling large-scale data and complex transformations

Exposure to data governance tools on GCP

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