Capgemini
Data Engineering QA Analyst
Location: Atlanta, GA / Chicago, IL (Hybrid)
Job Description We are seeking a skilled
Data Engineer QA Analyst
to join our team in Atlanta. The ideal candidate will collaborate closely with Data Analysts and Data Engineers to develop and execute both functional and non-functional test cases and technical test scripts. This role requires a strong understanding of data platforms and testing methodologies, with a focus on Azure-based technologies and real-time data systems.
Key Responsibilities
Design, develop, and execute test cases and scripts based on business and technical requirements.
Apply Navy Federal-specific testing best practices across all phases of testing.
Collaborate with cross-functional teams to ensure data quality and integrity.
Perform testing on data ingestion, transformation, and real-time data pipelines.
Utilize tools such as GenRocket (or similar) for synthetic data generation.
Conduct performance and API testing using tools like Postman and NeoLoad.
Monitor and analyze logs using Splunk for troubleshooting and validation.
Required Skills & Technologies
EDL (Sourcing, Ingestion)
ASL Azure Fundamentals
SQL
Databricks (PySpark)
GenRocket or similar synthetic data tools
Testing Methodologies (Functional & Non-Functional)
ODH Azure Fundamentals
CosmosDB
Postman
NeoLoad
Splunk
Preferred Qualifications
Experience working in Agile environments.
Strong analytical and problem-solving skills.
Excellent communication and documentation abilities.
Life at Capgemini
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 & Equal Opportunity 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.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Salary Transparency Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue‑based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80,420 to $106,050/yearly.
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Job Description We are seeking a skilled
Data Engineer QA Analyst
to join our team in Atlanta. The ideal candidate will collaborate closely with Data Analysts and Data Engineers to develop and execute both functional and non-functional test cases and technical test scripts. This role requires a strong understanding of data platforms and testing methodologies, with a focus on Azure-based technologies and real-time data systems.
Key Responsibilities
Design, develop, and execute test cases and scripts based on business and technical requirements.
Apply Navy Federal-specific testing best practices across all phases of testing.
Collaborate with cross-functional teams to ensure data quality and integrity.
Perform testing on data ingestion, transformation, and real-time data pipelines.
Utilize tools such as GenRocket (or similar) for synthetic data generation.
Conduct performance and API testing using tools like Postman and NeoLoad.
Monitor and analyze logs using Splunk for troubleshooting and validation.
Required Skills & Technologies
EDL (Sourcing, Ingestion)
ASL Azure Fundamentals
SQL
Databricks (PySpark)
GenRocket or similar synthetic data tools
Testing Methodologies (Functional & Non-Functional)
ODH Azure Fundamentals
CosmosDB
Postman
NeoLoad
Splunk
Preferred Qualifications
Experience working in Agile environments.
Strong analytical and problem-solving skills.
Excellent communication and documentation abilities.
Life at Capgemini
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 & Equal Opportunity 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.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Salary Transparency Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue‑based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80,420 to $106,050/yearly.
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