Position Description:
Company Profile:
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, professionals located in 40 countries. Founded in , 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, professionals located in 40 countries. Founded in , 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 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: Azure Data EngineerPosition: Senior Software Engineer / Data EngineerExperience: 5–9 YearsCategory: Data Engineering / Cloud EngineeringMain Location: HyderabadWork Type: Full-TimePosition ID-J-
We are looking for a skilled Azure Data Engineer with strong hands-on experience in Python and PySpark to build and maintain scalable, production-grade data solutions.
Behavioural Competencies :
• Proven experience of delivering process efficiencies and improvements• Clear and fluent English (both verbal and written)• Ability to build and maintain efficient working relationships with remote teams• Demonstrate ability to take ownership of and accountability for relevant products and services• Ability to plan, prioritise and complete your own work, whilst remaining a team player• Willingness to engage with and work in other technologies
Note: This job description is a general outline of the responsibilities and qualifications typically associated with the Virtualization Specialist role. Actual duties and qualifications may vary based on the specific needs of the organization.
CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.
Your future duties and responsibilities:
-Design, develop, and maintain scalable data pipelines using Python and PySpark.
-Build and manage ETL/ELT workflows using Azure Databricks and Azure Data Factory.
-Implement and manage CI/CD pipelines using Azure DevOps (YAML-based) for data and cloud workloads.
-Schedule, monitor, and troubleshoot data workflows using Apache Airflow.
-Deploy and support applications in production environments, ensuring high availability and reliability.
-Work with Azure services such as Virtual Machines, Function Apps, Logic Apps for integration and automation.
-Implement monitoring and logging using Application Insights and Log Analytics.
-Collaborate with cross-functional teams to gather requirements and deliver data solutions.
-Ensure security, performance optimization, and cost efficiency of Azure resources.
Required qualifications to be successful in this role:
Strong hands-on experience with Python and PySpark.
Solid experience in Azure Data Engineering ecosystem.
Experience in building production-grade data pipelines.
Good understanding of CI/CD concepts and DevOps practices.
Ability to debug, optimize, and support systems in live environments.
Strong communication and problem-solving skills.
Must to Have:
Azure DevOps
Git
Python
PySpark
Azure Databricks
Azure Data Factory
CI/CD Pipelines (YAML)
Apache Airflow
Production Deployments
Good to Have:
Azure Function Apps & Logic Apps
Application Insights & Log Analytics
Experience with monitoring, alerting, and logging
Exposure to big data or distributed systems
Knowledge of cloud security and cost optimization
Skills:
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