About the Company:

Founded in 1976, CGI is one of the world’s largest independent IT and business consulting firms, employing over 94,000 consultants and professionals globally. The company offers a comprehensive range of services, including strategic IT and business consulting, systems integration, managed IT, BPO services, and proprietary solutions. CGI’s client engagement model focuses on local relationships supported by a global delivery network, driving digital transformation and optimized results for clients.

About the Role:

As a Software Engineer (Data Engineer) at CGI, you will play a vital role in designing, building, and maintaining data pipelines that empower business decisions and support large-scale data-processing solutions. This position requires strong technical knowledge in Spark (PySpark), Python, and SQL, along with experience in modern data engineering tools like Databricks and workflow schedulers.

Responsibilities:

• Develop and maintain robust, high-performance data pipelines using PySpark, Python, and SQL.
• Work extensively on Databricks for data engineering and processing.
• Handle orchestration and scheduling using tools like Databricks Workflows, Airflow, Prefect, or Control-M.
• Collaborate with cross-functional teams, including Product Management and business stakeholders, to define and implement solutions.
• Participate in Agile practices (Scrum, Kanban, SAFe) and contribute to continuous improvement of development processes.
• Migrate data workloads and pipelines from on-premises environments to Databricks on Google Cloud Platform (GCP).
• Maintain code quality, testing, and CI/CD pipelines using tools such as GIT and Azure Pipelines.
• Stay updated on industry trends and embrace innovative technologies to optimize data infrastructure.

Key Technical Skills:

Spark (PySpark), Python, SQL, Databricks, Linux, Airflow, Prefect, Control-M, GIT, CI/CD (Azure Pipelines), Kafka, Docker, Kubernetes, Azure Cloud, Google Cloud

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3–6 years of experience in software or data engineering roles.
• Proven expertise in PySpark, Python, and complex SQL query development.
• Experience working on Databricks for data transformation and analytics.
• Familiarity with Linux environments and command-line tools.
• Practical experience with CI/CD pipelines, GIT, and workflow orchestration systems.
• Ability to communicate effectively in a collaborative Agile environment.
• Understanding of distributed systems, data structures, and design patterns.
• Strong problem-solving and debugging skills.