Senior Developer - Python / PySpark

Position Description This role is hybrid and requires you to work from our downtown Toronto office and/or the client office a minimum of four (4) days per week. This requirement is subject to change based on business and client needs. CGI is seeking a highly skilled Senior Developer with expertise in Python, PySpark, and enterprise data engineering to join our Capital Markets technology team. In this role, you will design, develop, and optimize scalable data engineering solutions that support critical business functions across trading, risk, finance, and regulatory reporting. You will collaborate with business stakeholders, solution architects, and engineering teams to deliver cloud-native data platforms using modern Azure technologies. If you enjoy solving complex data challenges, building high-performance data pipelines, and working in a fast-paced financial services environment, we'd like to hear from you. Your future duties and responsibilities Design, develop, and maintain scalable data engineering solutions using Python and PySpark. Build and optimize enterprise ETL/ELT pipelines for processing large volumes of market, trade, risk, and reference data. Develop high-performance data processing solutions using Apache Spark and Azure Databricks. Design and implement reliable data ingestion frameworks for internal and external data sources. Develop reusable data transformation, validation, and reconciliation frameworks. Optimize Spark applications for scalability, reliability, and performance. Implement data quality controls, monitoring, and governance best practices. Troubleshoot production issues and perform root cause analysis for data pipelines. Participate in architecture discussions, solution design, and code reviews. Contribute to CI/CD automation, DevOps practices, and release management. Collaborate closely with business stakeholders, data architects, analysts, and development teams to deliver strategic Capital Markets initiatives. Ensure all solutions comply with enterprise security, governance, and regulatory standards. Required Qualifications To Be Successful In This Role Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. 6+ years of software development and data engineering experience. 4+ years of hands-on experience developing applications using Python and PySpark. Experience building large-scale distributed data processing solutions. Experience working with cloud-based data platforms and modern data architectures. Strong analytical, problem-solving, and communication skills. Technical Skills Programming & Data Engineering Python PySpark Apache Spark / Spark SQL Advanced SQL Object-Oriented Programming (OOP) Data Structures & Algorithms ETL/ELT development Data Modeling Data Warehousing concepts Performance tuning and optimization Batch and real-time data processing Databases SQL Server Oracle PostgreSQL Snowflake Cloud & DevOps Azure Databricks Azure DevOps Git CI/CD pipelines Unit Testing Agile/Scrum methodologies Code review best practices Nice to Have Experience working in Capital Markets or Financial Services. Experience supporting Trading, Risk, Finance, or Regulatory Reporting platforms. Experience with enterprise data governance and data quality frameworks. Knowledge of Azure cloud-native services and modern data architecture patterns. "CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $80,000-$130,000. This role is an existing vacancy." ! Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries. Come join our team—one of the largest IT and business consulting services firms in the world.

Design, develop, and maintain scalable data engineering solutions and ETL/ELT pipelines using Python and PySpark. Collaborate with stakeholders to deliver cloud-native data platforms and optimize Spark applications for high-performance processing.

Requires a bachelor's degree in a technical field and over 6 years of software development experience, including 4 years with Python and PySpark. Candidates must have experience with large-scale distributed data processing and cloud-based data architectures.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• PySpark
• Apache Spark
• Spark SQL
• Azure Databricks
• SQL
• ETL/ELT
• Data Modeling
• Data Warehousing
• Azure DevOps
• CI/CD
• Unit Testing
• Agile/Scrum
• Object-Oriented Programming
• Data Engineering
• Cloud Computing

• Software
• Data & Analytics
• Technology
• Engineering
• Finance & Accounting

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

22 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

4 jours par semaine

Niveau d’expérience

Entry level