Testing Engineer
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Test Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).
Roles & Responsibilities Execute data validation queries to compare: Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs). Sample and cell-level comparisons for critical entities and fields. Validate schema consistency (data types, lengths, precision/scale, nullable fields, constraints). Log discrepancies, analyze patterns, and work with developers to support root-cause analysis. Validate dbt models (staging, core, marts) on Snowflake against legacy Informatica outputs. Test Databricks notebooks/jobs that replicate Yellowbricks logic — ensuring correct transformations, joins, filters, and aggregations. Perform regression testing for each migration wave to ensure that previously validated data and flows remain correct. Support integration testing across layers: Source → Databricks / Snowflake dbt → Snowflake → downstream reports or extracts 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., Monitor pipeline runs for job failures, retries, and data volume anomalies. Log defects with clear steps, data samples, and evidence (screenshots/SQL) in the defect tracking tool (e.g., JIRA, Azure DevOps). 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. Experience 3–6 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. Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping. Azure DevOps, JIRA, TestRail, qTest). Experience with Excel or similar tools for managing validation results and reconciliation artifacts. 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 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. 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. 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.NTT DATA endeavors to make 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 . 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 .
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