2 weeks ago

Senior Data Quality Engineer

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Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Own end-to-end data quality for ETL/ELT pipelines and data warehouses, validating movement, completeness, accuracy, consistency, and lineage across source and target systems. Design test strategies and automated frameworks for reconciliation, regression testing, and exception handling, including SQL-based validation at scale. Validate Snowflake ingestion, transformation, and reporting layers, and ensure BI dashboards, KPIs, and semantic models are accurate and usable while collaborating with data and business stakeholders.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Mid level

Key Responsibilities

•Design and execute 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.
•Validate Snowflake ingestion, transformation, and reporting layers and collaborate to define quality requirements.

Key Requirements

•8+ years of experience in Data Testing, ETL Testing, or Quality Engineering in data-centric environments.
•Strong expertise in Advanced SQL, including complex queries, joins, stored procedures, and performance optimization.
•Proven experience testing ETL/ELT 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.

Experience:8+ years

Skills:Analytical skillsProblem-solvingDefect managementCommunicationStakeholder management

Tech Stack:SQLSnowflakeDbtPythonPower BIAzureAWSGCPCI/CDDevOpsETLELTData warehousingDimensional modelingData vaultData reconciliationData lineageMetadata management

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