Senior Big Data Engineer

Job Title: Senior Data Engineer – Big Data Solutions
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.

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.

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: Expertise in ETL processes, data warehousing, and distributed systems.
~ Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
~ Strong communication skills for engaging with technical and non-technical stakeholders.
~ Bachelor’s degree in Computer Science or equivalent practical experience.


Knowledge of data governance, security, and compliance best practices.
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. Flexible work
Healthcare including dental, vision, mental health, and well-being programs
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
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 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. 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.
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.
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.