Test Engineer

NTT DATA, Inc.; Hyderabad; Hybrid; INR 600,000 - 1,000,000; Full time

Job summary

NTT DATA, Inc. is seeking a Test Engineer to join our Hyderabad, India team responsible for data warehouse/ETL validation, data migration testing, and regression testing across migration waves.

The role focuses on ensuring data integrity between source systems and target platforms such as Snowflake and Databricks. You will execute functional tests, validate business rules after migrations, monitor pipeline runs, and collaborate with onshore/offshore teams to triage defects.

Qualifications

• 2–4 years of software testing/QA experience
• >=2 years in data warehouse/ETL testing
• Experience with data migration and modernization projects preferred
• Strong SQL and data validation skills

Responsibilities

• Compare source (Yellowbricks/Informatica) vs target (Databricks/Snowflake/dbt) outputs
• Perform row-count checks between source and target tables
• Test Databricks notebooks/jobs to validate transformations
• Validate CDC/incremental loads and regression testing after migrations
• Log defects with clear steps and data samples in JIRA/Azure DevOps and retest defects

Skills

SQL

Data validation

Analytical thinking

Tools

Snowflake

Databricks

dbt

Azure DevOps

JIRA

Job description

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We are currently seeking a Test Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).

Job Duties: Roles & Responsibilities

• Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs).
• Perform:
• Row-count checks between source and target tables.
• Sample and cell-level comparisons for critical entities and fields.
• Log discrepancies, analyze patterns, and work with developers to support root-cause analysis.
• Understand Informatica mappings and workflows and their expected outputs.
• Test Databricks notebooks/jobs that replicate Yellowbricks logic - ensuring correct transformations, joins, filters, and aggregations.
• Validate CDC / incremental loads: new, changed, and deleted records are handled correctly.
• Execute functional tests to verify correct application of business rules after migration.
• Perform regression testing for each migration wave to ensure that previously validated data and flows remain correct.
• Support integration testing across layers:
• Validate downstream outputs (if in scope): reports, extracts, or interfaces that consume migrated data.
• Assist in executing basic performance tests for key queries and jobs (e.g., comparing runtime vs baseline).
• Monitor pipeline runs for job failures, retries, and data volume anomalies.
• Execute test cases, record results, and maintain traceability to requirements.
• Log defects with clear steps, data samples, and evidence (screenshots/SQL) in the defect tracking tool (e.g., JIRA, Azure DevOps).
• Retest resolved defects and support regression runs.
• Maintain test case repositories, test data sets, and execution logs for audit and re-use.
• Participate in daily stand-ups / defect triage with onshore/offshore teams.
• 2-4 years of experience in Software Testing / QA, with at least 2+ years in Data Warehouse / ETL testing.
• Practical experience in data migration / data platform modernization projects is strongly preferred.

Technical Skills

• Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters).
• Hands-on experience testing on at least one data platform such as:
• Snowflake, Databricks, or other cloud DW/Big Data platforms - experience with Snowflake/Databricks is a plus.
• Exposure to Informatica (understanding mappings/workflows and expected outputs).
• Exposure to dbt or willingness to learn dbt-based validations (model outputs, dbt test results).
• Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping.
• Familiarity with test management and defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest).
• Experience with Excel or similar tools for managing validation results and reconciliation artifacts.

Soft Skills

• Strong attention to detail and a structured approach to validation.
• Ability to analyze data discrepancies and collaborate with developers to narrow down issues.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

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 .

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