Senior Software Engineer -Azure Data Engineer

Position Description

At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.

This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Job Title: Senior Azure Data Engineer

Position: Senior software engineer/ developer

Experience: 5-8 years

Category: Software Development/ Engineering

Shift: Second Shift (Timing:1PM to 10PM)

Work Mode: 5 days’ Work from Office (ODC – Banking Client)

Main location: Bangalore & Chennai

Your future duties and responsibilities

Your future duties and responsibilities

• Design and maintain scalable data pipelines for ingesting, processing, and transforming structured and unstructured data.
• Develop and optimize Spark jobs using PySpark and Spark SQL within Azure Databricks.
• Implement Azure Data Lake Storage (Gen2) solutions following medallion architecture (Bronze, Silver, Gold layers).
• Collaborate with stakeholders (data architects, analysts, business teams) to translate requirements into technical solutions.
• Ensure data security and compliance with access controls, encryption, and masking.
• Perform data modeling for batch and real-time analytics (star schema, snowflake, data vault).
• Monitor and troubleshoot pipelines for performance and cost optimization.
• Automate deployments using CI/CD pipelines (Azure DevOps/GitHub Actions) and IaC tools (Terraform/Bicep).
• Establish data quality checks and governance standards.
• Mentor junior engineers and promote best practices in data engineering.

Required Qualifications To Be Successful In This Role

• 5+ years of professional experience in data engineering with enterprise-grade solutions.
• 3+ years of hands-on expertise in Microsoft Azure data services, including:
• Azure Databricks: Spark clusters, notebooks, tuning, debugging.
• Medallion Architecture (Bronze, Silver, Gold).
• Experience with Azure Data Factory or Apache Airflow for orchestration.
• Azure Data Lake Storage (Gen2): Directory structure, RBAC/ACLs, performance optimization.
• Strong programming skills in Python (Pandas, APIs, unit testing).
• Expert-level proficiency in PySpark (DataFrame API, Spark SQL, Catalyst Optimizer).
• Advanced SQL development and optimization.
• Solid understanding of data modeling concepts.
• Familiarity with Git and collaborative development practices.

Technical Skills

• Microsoft Azure Data Engineer Associate (DP-203) certification.
• Experience with Delta Lake (ACID transactions, schema enforcement, time travel).
• Real-time data processing with Azure Stream Analytics or Spark Streaming.
• Knowledge of Synapse Analytics, Event Hubs, Azure SQL DB, Cosmos DB, Purview.
• Exposure to DevOps/DataOps principles and tools (CI/CD, Terraform, Azure DevOps).
• Familiarity with Power BI or other visualization tools.

Required Qualifications To Be Successful In This Role Any graduation or related field or higher with minimum 3 years of relevant experience.

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