Data QA

NTT DATA, Inc.; Atlanta (GA); On-site; USD 83,000 - 96,000; Full time

Benefits offered by this job

Medical, dental, and vision

401k program

Employee assistance

Job summary

NTT DATA, Inc. in Atlanta, Georgia seeks a Senior QA Data Engineer to own the most complex test design and validation for data transformations and ingestion processes.

You will craft detailed test plans, execute data validation across base tables and tabular cubes, and drive root-cause analyses for high-impact data issues while contributing to Python/Databricks automation assets. You will write Python scripts and SQL for data comparisons, author DAX queries for cube validation, and mentor junior

Qualifications

• 5-7 years of QA experience with data warehouse, ETL/ELT, or pipeline testing.
• 5-7 years of hands-on testing experience on Snowflake and Databricks.
• 5-7 years of strong Python skills for validation scripting and automation.
• 5-7 years of advanced SQL skills, including joins, aggregations, window functions, and reconciliation patterns.

Responsibilities

• Create comprehensive test plans and test cases for new transformations and ingestion processes.
• Execute advanced data validation: verify code correctness against base tables and reconciled outputs.
• Write complex SQL and Python validation scripts to compare data warehouse sources against tabular cube outputs.
• Author DAX queries against tabular cubes for data extraction and validation.
• Lead testing for transformations and migrations across Snowflake and Databricks.
• Conduct root cause analysis on data quality incidents and document findings and remediation.
• Contribute to and extend automated test scripts and frameworks in Jira-driven workflows.
• Mentor QA Engineers on SQL, Python, validation techniques and test planning.

Skills

QA Testing

Data Warehouse Testing

ETL/ELT Validation

Python Scripting

SQL Proficiency

Root Cause Analysis

Jira Workflows

Mentoring

Tools

Snowflake

Databricks

DAX

SSAS Tabular

Job description

About NTT DATA

NTT DATA strives to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization. We are currently seeking a professional to join our team in Atlanta, Georgia (US-GA), United States (US).

Team: QA Data Engineering Team

Role Summary

The Senior QA Data Engineer is a strong individual contributor responsible for the most complex test design and validation work on the team. This role authors detailed test plans and test cases for new transformations and ingestion processes, executes advanced data validation across base tables and tabular cubes, and leads root cause analysis on high-impact failures. The Senior QA Engineer contributes meaningfully to the team's Python/Databricks automation assets.

Key Responsibilities

• Create comprehensive test plans and test cases for new transformations and ingestion processes, working from minimal business-supplied input.
• Execute advanced data validation: verify code correctness against base tables, confirm key fields contain the correct data, and reconcile system outputs against business and vendor expectations (e.g., sales figures, account roles).
• Write complex SQL and Python validation scripts to compare data warehouse sources against tabular cube outputs, including completeness, sum totals, null percentages, and key-field checks.
• Author DAX queries against tabular cubes to extract data for comparison against the Azure Data Warehouse source.
• Lead testing for new transformations and migrations across Snowflake and Databricks, assess impact on downstream cubes and reports.
• Conduct root cause analysis on data quality incidents; document findings, impact, and remediation, and partner with development teams on resolution.
• Contribute to and extend the team's automated test scripts and frameworks under the Technical Lead's direction.
• Use Jira to receive assignments and notifications, kick off test plans, and track results.
• Mentor QA Engineers/Testers on SQL, Python, validation techniques, and test planning.

Required Skills & Experience

• 5-7 years of QA experience with at least 3 years focused on data warehouse, ETL/ELT, or pipeline testing.
• 5-7 years of hands-on testing experience on Snowflake and Databricks (notebooks, SQL, basic PySpark).
• 5-7 years of strong Python skills for writing validation scripts, iterating across columns/tables, and producing automated comparison reports.
• 5-7 years of advanced SQL skills, including complex joins, aggregations, window functions, and reconciliation patterns.
• 5-7 years of demonstrated ability to write detailed test plans and test cases independently.
• 5-7 years of experience performing root cause analysis on data issues and producing structured RCA documentation.
• 5-7 years of experience working in Jira-driven QA workflows.
• Strong communication skills; comfortable working directly with business stakeholders to clarify requirements.

Secondary / Nice to Have

• Experience with Azure Synapse / Azure Data Warehouse.
• DAX query authoring against tabular cubes (SSAS Tabular / Azure Analysis Services / Power BI).
• Exposure to AI workflows or AI-assisted automation for test case generation or data validation.
• Experience with synthetic and controlled test data generation.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $60/Hr to $70/Hr. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.