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CGI Off Campus Drive 2026 : Freshers | Quality Engineer | PAN India

by Jyostna Biradar
March 31, 2026
0

CGI Off Campus Drive 2026

 

Quick Summary: CGI is hiring for the position of Quality Engineer/ Test Engineer at its Bangalore, Hyderabad and Chennai offices. This role is designed for professionals with 0-3 years of experience who have strong skills in SQL, Python, and PySpark for validating complex data warehouse environments.

CGI is one of the world’s largest IT and business consulting services firms. As a Quality Engineer in the Big Data domain, you will be responsible for ensuring the integrity of massive datasets and building automated validation solutions that power enterprise-level decision-making.

CGI Recruitment 2026 | Job Overview

Details Information
🏢 Company CGI (Consulting Group International)
📌 Position Quality Engineer – Big Data/ETL Testing (Test Engineer)
🎓 Qualification BE/ B.Tech/ B.Sc/ ME/ M.Tech/ M.Sc/ MCA
💼 Experience Freshers (0 – 3 Years)
📍 Job Location Bangalore, Chennai, Hyderabad
🛠 Primary Skills Python, SQL, PySpark, Unix, Xray
💰 Expected CTC ₹6.0 LPA – ₹12.0 LPA (Based on experience)
🗓️ Last Date Apply as soon as possible

Eligibility Criteria For CGI Off Campus Drive 2026

CGI is looking for candidates who can handle large-scale data complexity:

  • Education Qualification: Bachelor’s degree in Computer Science or related field or higher with minimum 3 years of relevant experience.
  • Experience: 0–3 years of experience specifically in Big Data, ETL, or Data Warehouse testing environments.
  • Technical Expertise: Hands-on experience (1+ years) with Python and PySpark for automation frameworks.
  • Database Knowledge: Mastery of SQL and experience with RDBMS or Hadoop-based reporting systems.
  • QA Fundamentals: Solid understanding of defect management, the Quality Engineering lifecycle, and Unix commands.
  • Tools: Familiarity with Xray for test management is required.
  • Bonus Skills: Exposure to real-time streaming applications and ingestion processes is a major plus.

Key Responsibilities

In this data-centric QE role, your day-to-day tasks will include:

  • End-to-End Validation: Delivering test artifacts and validating Big Data/DWH/ETL processes from project inception to final deployment.
  • Complex Querying: Performing medium to complex SQL queries (Joins, CTEs, window functions) to verify data transformations.
  • Automation Development: Building robust automation solutions for data validation using Python and PySpark.
  • Test Suite Maintenance: Creating and maintaining automated test suites for new features to enable continuous data validation.
  • Agile Collaboration: Actively participating in sprint planning, daily scrums, and demos within an Agile framework.
  • Stakeholder Communication: Coordinating with Business Analysts (BAs) and global delivery teams to meet enterprise QA standards.

Selection Process For CGI Off Campus Drive 2026

The recruitment drive at CGI typically involves:

  1. Technical Screening: Initial assessment of SQL proficiency and data testing concepts.
  2. Coding/Logic Round: Practical test involving Python/PySpark scripting and complex SQL query writing.
  3. Technical Interview: Deep dive into ETL logic, Big Data architectures, and previous project experience.
  4. Managerial/HR Round: Final discussion on culture fit, communication skills, and salary expectations.

How to Apply For CGI Off Campus Drive 2026?

Eligible candidates can apply directly via the CGI global recruitment portal using the Position ID **J0326-0830**. Ensure your resume highlights specific experience with PySpark and data warehouse validation.

👉 Apply Now: CGI Quality Engineer (Big Data/ETL)


Frequently Asked Questions (FAQs)

1. Is this role open to freshers?

The experience bracket is **0-3 years**. Freshers with strong internship experience in Python/SQL or a solid academic background in Big Data technologies are encouraged to apply.

2. What tools are used for test management at CGI?

CGI specifically mentions **Xray** as a key skill for this position to manage test cases and defect tracking.

3. Does this role involve coding?

Yes. Unlike traditional manual testing, this is a **Quality Engineering** role requiring hands-on programming in Python and PySpark to build automation scripts for data validation.


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