Senior Data Engineer

Senior Data Engineer

Position Description
The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud based data solutions on Google Cloud Platform (GCP). This role involves working closely with data architects, analysts, and cross-functional teams to enable reliable data flows, real-time streaming, and advanced analytics. The ideal candidate has deep expertise in GCP services such as Pub/Sub, Dataflow, and BigQuery, with a strong background in distributed data processing and data modeling

Your future duties and responsibilities
• Design and develop scalable ETL/ELT data pipelines using GCP services such as Dataflow and BigQuery.
• Build and maintain real time streaming solutions leveraging Pub/Sub and Dataflow.
• Optimize data pipelines and workflows for performance, reliability, and cost efficiency.
• Architect end to end cloud based data solutions on GCP aligned with business and technical requirements.
• Implement data security, governance, and quality best practices across all data environments.
• Automate infrastructure and pipeline deployments using CI/CD and Infrastructure-as-Code (e.g., Terraform).
• Design and maintain data models and warehouses in BigQuery, including proper partitioning and clustering.
• Collaborate with cross-functional teams (analysts, data scientists, architects) to translate business needs into technical data solutions.
• Troubleshoot, monitor, and improve data pipelines to ensure reliable and timely data delivery.
• Mentor junior engineers and contribute to best practices, coding standards, and architectural guidelines.

Required qualifications to be successful in this role
• 6+ years of experience in data engineering or similar roles.
• Strong expertise with Google Cloud Platform, including:
• Pub/Sub (event streaming, message ingestion)
• Dataflow (batch & streaming pipelines, Apache Beam)
• BigQuery (SQL performance tuning, partitioning, clustering)
• Proficiency in Python, SQL, and data pipeline frameworks.
• Experience with distributed systems, data ingestion, and processing at scale.
• Knowledge of CI/CD pipelines, version control, and automation tools.
• Strong understanding of data modeling, warehousing concepts, and ETL/ELT design principles.

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 $70,000–$135,000. This role is a future opportunity

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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.

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