Data Quality Engineer - Hybrid On-Site

NTT DATA Services•Merrimack, NH

2d•$102,675 - $136,900•Hybrid

About The Position

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, apply now. We are currently seeking a Data Quality Engineer - Hybrid On-Site to join our team in Merrimack, New Hampshire (US-NH), United States (US). Please know that this will be a hybrid on-site based role.

Requirements

5+ years of experience in Agile development methodology and Jira tool
5+ years of experience in testing distributed applications at multiple layers of the technology stack
5+ years of experience in hands-on experience in Test Management lifecycle
5+ years of strong working knowledge of Relational Databases like Oracle or DB2 or Postgres and experience with PL/SQL and complex queries, views, packages etc.
5+ years of experience in validating the BI Reports and ETL/ELT work loads
3+ years of SQL skills

Nice To Haves

Strong experience in Test automation design, development and execution using frameworks eg. RestAssured, Playwright, Karate, Cucumber, TestNG.
Strong proven experience in programming - Python.
Strong knowledge of continuous integration and deployment – GitHub, Maven, Jenkins, Docker, SonarQube, etc.
The candidate should have experience in designing test strategy, test automation suites independently for a new product/application.

Responsibilities

Design, develop, and execute comprehensive test strategies, test plans, test cases, and test automation suites for new and existing applications.
Participate in Agile development processes, including sprint planning, backlog grooming, daily stand-ups, sprint reviews, and retrospectives using Jira.
Perform end-to-end testing of distributed applications across multiple layers, including UI, APIs, middleware, databases, ETL processes, and reporting systems.
Manage the complete test lifecycle, including test planning, execution, defect management, test reporting, and release sign-off activities.
Validate data integrity, data transformations, and business rules across Oracle, PostgreSQL, and DB2 databases using complex SQL queries, PL/SQL procedures, packages, views, and scripts.
Conduct extensive ETL/ELT testing to ensure accurate data extraction, transformation, loading, reconciliation, and compliance with business requirements.
Validate Business Intelligence (BI) reports, dashboards, and analytical data outputs to ensure accuracy, completeness, and consistency of reporting data.
Perform backend data validation and database testing using advanced SQL queries and database objects.
Collaborate with developers, product owners, business analysts, data engineers, and DevOps teams to understand requirements and ensure quality delivery.
Integrate automated test suites into CI/CD pipelines using GitHub, Jenkins, Maven, Docker, and SonarQube to support continuous testing and deployment.
Analyze test results, identify defects, perform root cause analysis, and work closely with development teams to drive issue resolution.