Job Description

Job Title: Data Engineer

Job Location: Dallas, TX

Job Responsibilities

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.

Required 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).

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 nd 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 du

Disaster Relief

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 aring 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

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