NTT

2 days ago

Senior Data Quality Engineer

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Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design and execute end-to-end test strategies for ETL/ELT and data integration workflows, validating data movement, integrity, and lineage across source and Snowflake data warehouse layers. Build automated testing frameworks for data quality, reconciliation, and regression testing, using advanced SQL (and dbt) to validate large datasets. Support CI/CD quality gates in DevOps processes, ensure analytical products (dashboards, KPIs, semantic models) meet accuracy and usability standards, and drive defect root-cause resolution with cross-functional stakeholders.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Mid level

Key Responsibilities

•Design and execute comprehensive test strategies for ETL/ELT pipelines, data transformations, and data integration workflows.
•Validate data movement, completeness, accuracy, consistency, and lineage across source and target systems.
•Develop and maintain automated testing frameworks for data quality, reconciliation, and regression testing.
•Perform detailed data validation using advanced SQL across large and complex datasets, including Snowflake ingestion, transformation, and reporting layers.
•Support CI/CD pipelines with automated data quality checks and validate BI artifacts (dashboards, reports, KPIs, semantic models) for accuracy and usability, including defect root-cause analysis and resolution.

Key Requirements

•8+ years of experience in data testing, ETL testing, or quality engineering within data-centric environments.
•Strong expertise in advanced SQL, including complex queries, joins, stored procedures, and performance optimization.
•Proven experience testing data pipelines and transformations in Snowflake environments.
•Hands-on experience with dbt, including model validation and data testing.
•Experience designing and implementing test automation frameworks for data quality assurance, including CI/CD and DevOps quality gate implementations.

Experience:8+ years

Skills:AnalyticalProblem-solvingDefect managementCommunicationStakeholder management

Tech Stack:SQLSnowflakeETLELTDbtPythonPower BIAzureAWSGCPDevOpsCI/CDData warehouseDimensional ModelingData VaultSemantic modelsData lineageMetadata managementData reconciliation

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