NTT

4 months ago

Test Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Validate and verify migrated data for source-to-target pipelines by executing data validation queries and row-count, aggregate, and sample comparisons. Ensure schema consistency, CDC/incremental loads, and downstream reports or extracts remain correct after migration. Test and monitor Databricks/Snowflake workflows, log discrepancies and defects with evidence, and maintain traceability in tools such as JIRA or Azure DevOps while collaborating with onshore/offshore teams to root-cause issues.

Location: Karnataka

Workplace: Remote

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Mid level

Key Responsibilities

•Execute data validation queries comparing source outputs (Yellowbricks/Informatica) vs target outputs (Databricks/Snowflake/dbt).
•Perform row-count, aggregate, sample/cell-level, and schema consistency validations; log and analyze discrepancies.
•Validate dbt models on Snowflake and test Databricks notebooks/jobs replicating Yellowbricks logic (transformations, joins, filters, aggregations).
•Validate CDC/incremental loads and regression test each migration wave to ensure correct business rules and previously validated data flows.
•Maintain test cases/results and traceability; log defects with evidence in defect tracking tools and participate in stand-ups/defect triage.

Key Requirements

•2-4 years of experience in software testing/QA, including 2+ years in data warehouse/ETL testing.
•Strong SQL skills for writing complex validation queries (joins, aggregations, window functions, filters).
•Hands-on experience testing on Snowflake, Databricks, or other cloud data warehouse/Big Data platforms (Snowflake/Databricks a plus).
•Exposure to Informatica mappings/workflows and their expected outputs.
•Exposure to dbt (or willingness to learn) and familiarity with test management/defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest).

Experience:2-4 yearsData warehouseETLData migrationData platform modernization

Skills:Attention to detailStructured validation approachData discrepancy analysisCollaboration with developersRoot-cause analysis support

Tech Stack:SQLSnowflakeDatabricksDbtInformaticaYellowbricksJIRAAzure DevOpsTestRailQTestExcelDatabricks notebooksCDCETL

Company Brief

NTT

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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NTT