Data Quality Tester – Python

We are seeking a highly skilled and detail-oriented Data Testing Engineer with strong Python scripting capabilities and hands-on experience in AWS services such as S3, Glue, RDS, and Lambda. The ideal candidate will have a solid background in ETL testing, SQL procedures, and data validation, along with exposure to AI tools, Docker/Kubernetes, and CI/CD pipelines.

Key Responsibilities:

• Develop and execute automated test scripts using Python (Pandas, PyTest, etc.) for data workflows and batch jobs.
• Perform data validation by writing and executing complex SQL queries.
• Test and validate AWS Glue jobs, S3 buckets, RDS, DynamoDB, and Lambda functions.
• Analyze data against mapping documents and debug issues to identify root causes.
• Design and implement test plans, test cases, and test scripts for ETL and database workflows.
• Conduct API and web service testing using tools like Swagger.
• Work with Docker and Kubernetes for containerized testing environments.
• Collaborate with development and DevOps teams to integrate testing into CI/CD pipelines (TeamCity, Jenkins, Octopus).
• Leverage AI-based tools (e.g., GitHub Copilot) to enhance test coverage and observability.
• Explore and apply low-code/no-code automation techniques for testing.
• Use Jira or similar tools to manage Agile testing processes.

Preferred Qualifications:

• Cloud certifications (AWS, Azure, GCP) are a strong plus.
• Hands-on experience with Gen AI for test data generation and automation.
• Exposure to Snowflake, Data Lake architectures, and Bedrock model integration.
• Experience in the financial domain is highly desirable.
• Strong problem-solving skills and a proactive attitude.
• Ability to take ownership of features, releases, and tasks in a fast-paced Agile environment.

Technical Skills:

• Programming Languages: Python (must), Java (preferred)
• Frameworks: PyTest, JUnit, TestNG
• Tools: Git, Swagger, Jira, Jenkins, TeamCity, Octopus
• Cloud & Data: AWS Glue, S3, RDS, DynamoDB, Lambda, Snowflake
• Containers: Docker, Kubernetes
• AI/ML Exposure: AI tools, model training datasets (preferred)

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
• 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