ETL Tester with Python

We are looking for a highly skilled and experienced Senior ETL QA Engineer with a strong focus on Python scripting. The ideal candidate will have a robust background in ETL testing, exceptional SQL skills, and extensive experience in Python scripting. You will be responsible for testing AWS S3 buckets, Glue jobs, and working with Snowflake, ensuring the quality and integrity of data through rigorous testing processes.

Key Responsibilities

• Perform core ETL testing to validate data transformations and integrations.
• Utilize strong SQL skills to write complex queries for data validation.
• Develop and execute advanced Python scripts for automated testing of AWS S3 buckets and Glue jobs.
• Conduct thorough testing of Snowflake data warehouse solutions.
• Collaborate with ETL developers to understand data models, data mapping documents, ETL design, and coding.
• Test database systems including Oracle and SQL Server.
• Analyze requirements and create detailed test plans and test cases.
• Utilize test management tools to track and report testing activities.
• Communicate effectively with team members across multiple time zones.
• Apply strong QA methodologies to ensure high-quality deliverables.
• Demonstrate flexibility with work timings to accommodate global team schedules.
• Strong requirement analysis skills.
• Cloud knowledge is a plus.
• Excellent communication skills.
• Familiarity with test management tools.
• Flexible with work timings.
• Strong knowledge of QA methodologies.
• Experience working with teams across multiple time zones.

Qualifications

• 8+ years of experience in core ETL testing.
• Exceptionally strong SQL skills.
• Extensive experience in Python scripting.
• Experience with AWS S3 buckets and Glue jobs.
• Snowflake experience is required.
• Strong understanding of data models, data mapping documents, ETL design, and ETL coding.
• Experience testing database systems like Oracle and SQL Server

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

Qualifications

• We are looking for a highly skilled and experienced Senior ETL QA Engineer with a strong focus on Python scripting
• The ideal candidate will have a robust background in ETL testing, exceptional SQL skills, and extensive experience in Python scripting
• Excellent communication skills
• Familiarity with test management tools
• Strong knowledge of QA methodologies
• 8+ years of experience in core ETL testing
• Exceptionally strong SQL skills
• Extensive experience in Python scripting
• Experience with AWS S3 buckets and Glue jobs
• Snowflake experience is required
• Strong understanding of data models, data mapping documents, ETL design, and ETL coding
• Experience testing database systems like Oracle and SQL Server

Benefits

• 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
• 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

Responsibilities

• You will be responsible for testing AWS S3 buckets, Glue jobs, and working with Snowflake, ensuring the quality and integrity of data through rigorous testing processes
• Perform core ETL testing to validate data transformations and integrations
• Utilize strong SQL skills to write complex queries for data validation
• Develop and execute advanced Python scripts for automated testing of AWS S3 buckets and Glue jobs
• Conduct thorough testing of Snowflake data warehouse solutions
• Collaborate with ETL developers to understand data models, data mapping documents, ETL design, and coding
• Test database systems including Oracle and SQL Server
• Analyze requirements and create detailed test plans and test cases
• Utilize test management tools to track and report testing activities
• Communicate effectively with team members across multiple time zones
• Apply strong QA methodologies to ensure high-quality deliverables
• Demonstrate flexibility with work timings to accommodate global team schedules
• Strong requirement analysis skills
• Flexible with work timings
• Experience working with teams across multiple time zones