Junior Test Engineer

NTT DATA, Inc.; Bengaluru; On-site; INR 500,000 - 800,000; Full time

Job summary

NTT DATA, Inc. is looking for a passionate Junior Test Engineer to join our Bengaluru team. This role involves verifying data accuracy through comprehensive testing and validation on data platforms like Snowflake and Databricks.

The ideal candidate has 2-4 years of QA experience, especially in data warehouse testing, and is keen to work in a collaborative environment. If you're dedicated to quality and detail-oriented, apply now!

Qualifications

• 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.

Responsibilities

• Source vs Target comparison between data outputs.
• Log defects and analyze patterns with developers.
• Execute test cases and maintain traceability to requirements.

Skills

Software Testing / QA

SQL

Data Warehouse / ETL testing

Informatica

Snowflake

Databricks

Excel

Tools

JIRA

Azure DevOps

Job description

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 Junior Test Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Duties: Roles & Responsibilities

• Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs).
• 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, validating downstream outputs (if in scope) such as reports, extracts, or interfaces that consume migrated data.
• Assist in executing basic performance tests for key queries and jobs, comparing runtime to 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.

Qualifications

• 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.

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.