Python Data Testing

Capgemini; Fort Mill (SC); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Healthcare including dental and vision

401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Adoption assistance and surrogacy benefits

Subsidized child/elder care and tutoring

Mentoring and coaching programs

Disaster Relief

Job summary

A global technology consulting firm is seeking a Python Data Testing Engineer. You will develop automated test suites, perform data validation, and work with cloud-based data workflows. The ideal candidate has strong Python skills and experience with ETL testing. This full-time position offers a chance to enhance data accuracy and reliability in a collaborative environment.

Qualifications

• Strong programming skills in Python focused on test automation.
• Solid experience in data testing with SQL and Python.
• Hands-on experience with cloud data platforms.

Responsibilities

• Develop and maintain automated test suites using Python.
• Perform data validation and reconciliation using SQL.
• Test and monitor ETL workflows for data consistency.

Skills

Python programming

Data validation

ETL testing

Docker

Kubernetes

CI/CD tools

API testing

AI tools/models knowledge

Tools

AWS (Glue, S3, RDS, DynamoDB, Lambda)

Postman

Swagger

Jira

Job description

Talent Acquisition Partner – US & Canada🇺🇸🇨🇦 at Capgemini | Driving Tech & FS Hires | Vendor & Delivery Management Expert

We are looking for a detail-oriented and technically strong Python Data Testing Engineer who specializes in data validation, automation, and programming. This role demands hands‑on experience in Python‑based test automation, data pipeline testing, and cloud‑native data platforms. You will be responsible for ensuring the accuracy, reliability, and performance of data systems through robust testing strategies.

Key Responsibilities

• Develop and maintain automated test suites using Python for data pipelines, APIs, and batch processes.
• Perform data validation and reconciliation using advanced SQL queries and Python scripts.
• Test and monitor ETL workflows, ensuring data consistency across systems.
• Collaborate with data engineers to understand data mappings, transformations, and business logic.
• Debug data issues and provide root cause analysis with actionable insights.
• Work with AWS services (Glue, S3, RDS, DynamoDB, Lambda) for testing cloud‑based data workflows.
• Build and maintain test frameworks using PyTest, unittest, or custom Python modules.
• Automate testing for REST APIs, Web Services, and data feeds using tools like Postman, Swagger.
• Use Docker/Kubernetes for containerized testing environments.
• Integrate testing into CI/CD pipelines using Jenkins, GitHub Actions, or TeamCity.
• Apply AI/ML‑based automation techniques to enhance test coverage and observability.
• Use Jira or similar tools to manage test cases, defects, and Agile workflows.

Required Skills

• Strong programming skills in Python, with a focus on test automation and scripting.
• Solid experience in data testing, including SQL and Python‑based data validation.
• Hands‑on experience with ETL testing and cloud data platforms.
• Familiarity with Docker, Kubernetes, and containerized environments.
• Experience with CI/CD tools and version control systems like Git.
• Knowledge of API testing and web service validation.
• Exposure to AI tools/models and their integration into testing workflows is a plus.

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:
• 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

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

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology
• IT Services and IT Consulting