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Senior Data Engineer
Senior Data EngineerCapgemini Engineering • Vancouver, Metro Vancouver Regional District, CA
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Senior Data Engineer

Senior Data Engineer

Capgemini Engineering • Vancouver, Metro Vancouver Regional District, CA
30+ days ago
Job type
  • Full-time
Job description

Job Title

Senior Data Engineer – Big Data Solutions

About the Role

Join Capgemini as a Senior Data Engineer and play a pivotal role in transforming how businesses leverage data. You’ll design and build scalable data solutions that power decision‑making and innovation across the organization.

Key Responsibilities

  • Design and maintain robust, efficient data pipelines to collect, process, and store data from diverse sources (user interactions, listings, external feeds).
  • Develop and optimize data models for advanced analytics and merchandising strategies.
  • Ensure data quality by implementing validation, consistency checks, and monitoring processes.
  • Build scalable pipelines using SparkSQL, Python, and Scala, leveraging Airflow for orchestration.
  • Collaborate cross‑functionally with Data Scientists, Product Managers, Finance, and Engineering teams to deliver impactful data solutions.
  • Contribute to community standards by influencing tooling and best practices within Capgemini’s Data Engineering ecosystem.
  • Improve code and data quality through automation and proactive issue detection.

Required Skills & Experience

  • 5+ years in software development or data engineering roles.
  • Strong proficiency in Python, SQL, Spark, and experience with Scala.
  • Hands‑on experience with Big Data technologies : Hadoop, Hive, Presto, Flink, Kafka.
  • Expertise in ETL processes, data warehousing, and distributed systems.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
  • Ability to analyze large datasets, identify gaps, and deliver actionable insights.
  • Strong communication skills for engaging with technical and non‑technical stakeholders.
  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • Preferred Skills

  • Experience with Airflow or similar workflow orchestration tools.
  • Knowledge of data governance, security, and compliance best practices.
  • Passion for mentoring and contributing to a collaborative team culture.
  • Life at Capgemini

  • 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

    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. The Group reported 2024 global revenues of €22.1 billion.

    Disclaimer

    Capgemini is an Equal Opportunity Employer encouraging inclusion 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.

    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.

    Click the following link for more information on your rights as an Applicant http : / / www.capgemini.com / resources / equal-employment-opportunity-is-the-law

    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.

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    Senior Data Engineer • Vancouver, Metro Vancouver Regional District, CA

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