Product Software Engineer - Data and Analytics Engineers

CA-ON-Toronto

Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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Product Software Engineer - Data and Analytics Engineers-077128

Description

 

Job Location:  Hybrid, to the closest Capgemini office

Job Description:

Design, build, and maintain robust data pipelines, analytical models, and dimensional data models (star schemas) to drive product optimization, collaborating with cross-functional teams. Leverage expertise in modern data architecture (Trino, Spark, dbt), relational databases, and data governance to inform business decisions.

Key Responsibilities:

  • Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources.
  • Develop data models that enable the efficient analysis and manipulation of data for product optimization.
  • Collaborate with cross-functional teams, including Data Scientists, Product Managers, Software Engineers, and Analysts to define data requirements, and deliver data solutions that drive product improvements Work with Analytics Engineers to design and implement dimensional data models using star schemas.

 Required Skills

  • Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources
  • Develop data models that enable the efficient analysis and manipulation of data for product optimization
  • Collaborate with cross-functional teams, including Data Scientists, Product Managers, Software Engineers, and Analysts to define data requirements, and deliver data solutions that drive product improvements
  • Work with Analytics Engineers to design and implement dimensional data models using star schemas 

 

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

  • Flexible work 
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays 
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups 
  • Disaster Relief 

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. 

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. 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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the Future You Want | www.capgemini.com

Disclaimer

Capgemini 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 the US 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 the US by Capgemini.

 

    

Job

 : Programmer/Analyst

Schedule

 : Full-time

Primary Location

 : CA-ON-Toronto

Organization

 : ERD PPL CAN
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Data governance Data pipelines dbt Engineering Industrial Pipelines R R&D RDBMS Spark

Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave

Region: North America
Country: Canada

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