Senior Cloud Data Warehouse Engineer

Capgemini

  • Montreal, QC
  • Permanent
  • Full-time
  • 2 months ago
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Team OverviewThe Controls Engineering, Measurement and Analytics (CEMA) department is responsible for Cyber Risk and Control assessment, management, monitoring, and reporting capabilities across Technology, resulting in risk reduction and better oversight of the technology risk landscape of the firm. Our work is always client focused, our engineers are problem-solvers and innovators. We seek exceptional technologists to help deliver solutions on our user-facing applications, data stores, and reporting and metric platforms while being cloud-centric, leveraging multi-tier architectures and aligned with our DevOps and Agile strategies.We are in the process of modernizing our technology stack across multiple platforms with the goal of building scalable, front-to-back assessment, measurement and monitoring systems using the latest cloud, web, and data technologies. We are looking for someone with a systematic problem-solving approach, coupled with a sense of ownership and drive. The successful candidate will be able to influence and collaborate globally. They should be a strong team-player, have an entrepreneurial approach, push innovative ideas while appropriately considering risk, and adapt in a fast-paced changing environment.Role SummaryAs a Senior Cloud Data Warehouse Engineer, you will be a member of the C3 Data Warehouse team with a focus on building our next-gen data platform used for sourcing and storing data from different technology systems across the firm into a centralized data platform that empowers various reporting and analytics solutions for the Technology Risk functions.Skills/Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field required.
  • At least 10 years of experience in data development and solutions in highly complex data environments with large data volumes.
  • At least 7 years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
  • At least 5 years of experience with developing data solutions on Snowflake.
  • At least 3 years of data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
  • At least 3 years of experience developing solutions in a hybrid data environment (on-Prem and Cloud)
  • Hands on experience with Python must.
  • Hands on experience with Airflow (or similar tools like Dagster) a must.
  • Snowflake SnowPro Certification is a must.
  • Snowflake SnowPro Advanced Architect and Advanced Data Engineer a plus.
  • Hands on experience with DBT a plus.
  • Experience with performance tuning SQL, Spark job, and stored procedures.
  • An understanding of E-R data models (conceptual, logical, and physical).
  • Understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal \ Bi-Temporal models, etc.) a plus.
  • Strong skills including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.
  • Strong communication both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels.
  • Self-starter, ability to manage multiple, concurrent projects with minimal supervision. Can manage a complex ever changing priority list and resolve conflicts to priorities.
  • Strong problem-solving skills Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.
DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.Ref. code: 226571Posted on: May 29, 2025Experience Level: Experienced ProfessionalsContract Type: PermanentLocation:Montreal, CABrand: CapgeminiProfessional Community: Data & AI

Capgemini