Data Analyst / Engineer at CGI

Apply for the Data Analyst / Engineer role at CGI in Hyderabad (5-8 years experience, ₹7-17 LPA). Drive enterprise business intelligence and data pipeline auditing using SQL, Python, ETL, and cloud data warehouses.

About the Company: CGI

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. Operating across hundreds of locations globally, CGI delivers end-to-end operational services, commercial systems integration, high-value intellectual property, and managed IT business process solutions. The company is widely recognised as an “Employees’ Choice” workplace due to its collaborative ownership culture, where team members are treated as company shareholders.

While CGI’s corporate offices span major Indian tech hubs like Bangalore (Electronic City), this specific data division is expanding its footprint in Hyderabad. The data engineering and analytics group functions as an elite center of excellence, designing scalable data warehouses, handling massive data ingestion infrastructure, and providing enterprise business intelligence for Fortune 500 clients across banking, manufacturing, and healthcare sectors.

About the Role: Data Analyst / Data Engineer

Are you a senior data professional who bridges the gap between complex database programming and business intelligence architecture? CGI is hiring a full-time, permanent Data Analyst / Data Engineer under a flexible Hybrid operating framework in Hyderabad, Telangana, India. This role is designed for mid-to-senior specialists with 5 to 8 years of experience (with a core baseline of 4+ years in dedicated analytics) who want to own both data pipeline auditing and executive dashboard design.

In this position, you will step out of basic data reporting to oversee complete data lifecycles. Classified under Software Development and Data Engineering, the role requires a balance of analytical insight and technical optimisation. You will write complex, scratch-built SQL queries to answer high-level business questions, build automated Python wrangling scripts, audit enterprise ETL pipelines, and construct scalable BI dashboards. If you want a role where you can trace data lineage through cloud infrastructure and ensure data quality across massive datasets, this is your next career step.

Key Responsibilities & Data Engineering Workflows

• Advanced Query Engineering: Write complex SQL scripts, window functions, and multi-layered relational joins from scratch to extract actionable patterns from unstructured data storage.

• Database Performance Tuning: Audit, refactor, and optimise slow-running database queries to improve processing efficiency across enterprise data warehouses.

• Python Automation & Analysis: Build automated scripts using Python data libraries (Pandas, NumPy) and generate statistical visual models using Matplotlib and Seaborn.

• ETL Architecture & Lineage Auditing: Map and audit complex Extract, Transform, Load (ETL) data flows, ensuring accurate data lineage and building automated data-quality check routines.

• Enterprise Dashboard Deployment: Design, publish, and manage interactive, executive-ready corporate dashboards using tier-one business intelligence platforms like Power BI, Tableau, or Qlik.

• Pipeline Debugging & Support: Review, debug, and trace data processing anomalies within enterprise integration suites such as SSIS, Informatica, or Azure Data Factory.

• Cloud Cloud Ecosystem Integration: Query and manage large-scale data stores within modern cloud environments like Azure Synapse, AWS Redshift, or Google BigQuery.

• Script Governance: Maintain clean version control for all analytical models, transformation assets, and schema files using Git repositories.

Candidate Prerequisites & Key Technical Skills

Successful candidates must combine advanced software engineering practices with a strong analytical mindset to solve complex, unstructured business puzzles.

Required Experience & Educational Baseline:

• Professional Tenure: 5 to 8 Years of experience in software development, with 4+ years focused in a Data Analyst, Business Intelligence Analyst, or Data Engineer role.

• Academic Credentials: Graduate Degree (Any Graduate) with a strong background in computing or mathematics.

• Core Soft Skills: Strong analytical thinking, excellent problem-solving skills, and the communication skills needed to present technical findings clearly to business teams.

Core Technical Stack Competencies:

• Expert SQL Programming: Complete mastery of SQL, including writing advanced analytical queries, window functions, and complex joins from scratch.

• Python Data Science Stack: Practical proficiency using Python for data engineering, manipulation, and analysis (specifically Pandas, NumPy, Matplotlib, and Seaborn).

• ETL Architecture Insight: Solid understanding of data warehousing concepts, schema design, data lineage tracing, and data-quality frameworks.

• BI Visualisation Tools: Hands-on experience developing corporate reports in at least one enterprise tool like Power BI, Tableau, or Qlik.

Preferred Skills (Good to Have):

• Data Integration Software: Experience debugging production data flows inside SSIS, Informatica, or Azure Data Factory.

• Cloud Warehouses: Experience extracting data from modern cloud platforms like Azure Synapse, AWS Redshift, or Google BigQuery.

• Code Management: Routine experience using Git for script version control and code collaboration.

• Statistical Knowledge: A baseline understanding of statistical modelling, variance analysis, and predictive metrics.

Core Position Specifications

• Position Title: Data Analyst / Data Engineer

• Hiring Organisation: CGI

• Corporate Work Location: Hyderabad, Telangana, India (Hybrid Operating Framework)

• Experience Allotment: 5 – 8 Years

• Compensation Profile: ₹7.0 – ₹17.0 Lakhs Per Annum (CTC, based on experience and skillset)

• Employment Framework: Full-Time, Permanent corporate appointment

• Industry Placement: IT Services & Consulting / Software Engineering

• Functional Department: Engineering – Software & Quality Assurance

• Role Category: Software Development / Data Infrastructure Engineering