CGI is hiring for Data Engineer – Python / Pandas at Pune

Apply for Data Engineer – Python / Pandas

📌 Job Description

Company: CGI Information Systems and Management Consultants

Role: Data Engineer – Python / Pandas

Location: Pune (likely hybrid or onsite)

Experience: Typically 4 – 12 years (with relevant experience in data engineering) :contentReference[oaicite:0]{index=0}

Posted On: Late 2025

🛠 What You’ll Be Doing

• Design, build, and maintain scalable data pipelines using Python and data libraries like Pandas or Polars. :contentReference[oaicite:1]{index=1}
• Work with diverse data sources including APIs, SFTP servers, websites, emails, and PDFs. :contentReference[oaicite:2]{index=2}
• Transform and clean datasets efficiently for reporting and analytics. :contentReference[oaicite:3]{index=3}
• Develop and orchestrate workflows using tools such as Apache Airflow. :contentReference[oaicite:4]{index=4}
• Perform SQL queries and data analysis on large datasets (PostgreSQL, MSSQL, Databricks). :contentReference[oaicite:5]{index=5}
• Collaborate with teams to improve data frameworks and code quality. :contentReference[oaicite:6]{index=6}
• Maintain CI/CD pipelines using Azure DevOps, Jenkins, or related tools. :contentReference[oaicite:7]{index=7}

📍 Required Skills & Qualifications

• Strong expertise in Python with deep experience in Pandas and/or Polars for data manipulation. :contentReference[oaicite:8]{index=8}
• Solid understanding of ETL pipelines, data extraction, and transformation logic. :contentReference[oaicite:9]{index=9}
• Hands‑on experience with SQL and querying large datasets. :contentReference[oaicite:10]{index=10}
• Experience with workflow orchestration tools like Apache Airflow. :contentReference[oaicite:11]{index=11}
• Familiarity with cloud or DevOps tooling (Azure DevOps, Jenkins, ADO pipelines). :contentReference[oaicite:12]{index=12}
• Good problem‑solving, analytical thinking, and collaboration skills. :contentReference[oaicite:13]{index=13}

💰 Salary & Compensation

For Data Engineer roles at CGI in India, reported annual salaries can vary based on location and experience:

• Data Engineer compensation typically ranges from about **₹7 L to ₹22.5 L per year** in Pune and other Indian cities. :contentReference[oaicite:14]{index=14}
• Broader data engineer salary ranges at CGI show roughly **₹6.7 L to ₹15.6 L per year** depending on experience. :contentReference[oaicite:15]{index=15}

Experienced candidates with strong Python and ETL skills often command the higher end of these ranges or above, especially when working with cloud and orchestration tools. :contentReference[oaicite:16]{index=16}

🏢 About CGI

CGI is a global IT and business consulting services firm providing a wide range of technology and engineering services to enterprises worldwide. The company works across industries delivering services that include data engineering, cloud transformation, software development, and consulting. CGI’s data teams work on building large‑scale, robust data pipelines to support analytics, reporting, and business needs. :contentReference[oaicite:17]{index=17}

🌟 Company Culture & Employee Insights

Employee reviews for CGI’s data engineering teams suggest an overall positive but balanced experience:

• Company Rating: Around ~3.8/5 from engineers, with good job security and company culture. :contentReference[oaicite:18]{index=18}
• Work‑Life Balance: Moderate scores, often typical in global consulting environments. :contentReference[oaicite:19]{index=19}
• Salary & Benefits: Rated lower relative to peers, reflecting mixed sentiment on compensation. :contentReference[oaicite:20]{index=20}
• Skill Development: Opportunities exist but vary by team and project. :contentReference[oaicite:21]{index=21}

📚 How to Prepare for This Role

• Master Python & Pandas: Deepen your understanding of Pandas/Polars for data transformation and manipulation. :contentReference[oaicite:22]{index=22}
• Advanced SQL: Practice writing efficient SQL queries on large datasets and complex joins. :contentReference[oaicite:23]{index=23}
• ETL Development: Build end‑to‑end ETL workflows with orchestration using tools like Airflow. :contentReference[oaicite:24]{index=24}
• Cloud & DevOps Basics: Learn Azure DevOps or CI/CD pipelines to support automated deployments. :contentReference[oaicite:25]{index=25}
• Data Pipeline Projects: Create real‑world data engineering projects that ingest, transform, and serve data. :contentReference[oaicite:26]{index=26}

👍 Pros & 👎 Cons of Working at CGI

📈 Latest Trends & Future Scope

Data engineering is one of the most sought‑after roles in today’s tech landscape as organizations rely on scalable, reliable data pipelines to fuel analytics and AI initiatives. Mastery of Python, libraries like Pandas, workflow tools like Airflow, and cloud‑native ETL patterns positions you well for both service firms and product companies. :contentReference[oaicite:31]{index=31}

Apply Now for Data Engineer – Python / Pandas