Job Description
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.
Job Description Design and implement scalable ETL pipelines on Databricks (PySpark, SQL, Delta Lake) to process credit card transactions, balances, and payments.
- Develop the core calculation engines and integrate with upstream/downstream systems.
- Optimize Spark jobs for large-scale financial datasets (billions of records, partitioning, caching, AQE).
- Ensure data quality and reconciliation across raw, curated, and output layers.
- Implement parameterized rules (APR, compounding frequency, grace period logic).
- Collaborate with business analysts to translate product rules into technical implementations.
- Apply unit tests, CI/CD pipelines, and monitoring for production-grade pipelines.
- Ensure compliance with financial data governance, lineage, and audit requirements.
Skills - Strong in PySpark, SQL, Databricks (clusters, notebooks, Delta Live Tables, Unity Catalog).
- Hands-on experience with credit card or banking domain data (balances, minimum payments, billing cycles).
- Expertise in data modeling, partitioning, and query performance tuning.
- Experience with workflow orchestration (Airflow, Databricks Workflows, Dagster).
- Knowledge of CI/CD (Bitbucket/GitHub, Jenkins, Terraform for infra-as-code).
- 6-10 years of experience in Data Engineering (preferably financial services).
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.
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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.
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