QA Engineer

NTT DATA, Inc.; Bengaluru Urban; Hybrid; INR 700,000 - 1,000,000; Full time

Job summary

NTT DATA is seeking a QA Engineer to join our Bangalore team to plan and execute functional, system, integration, security, regression, and end-to-end tests for the SSAS monitoring solution. You will validate data models, loaders, and Power BI reports, maintain traceable test evidence, and support UAT, deployment, and production validation.

The role requires strong SQL Server testing skills, data reconciliation, and experience with SSAS, DMV, and Extended Events.

Qualifications

• Functional, system, integration, security, end-to-end, and regression testing.
• Strong SQL Server and SQL-based data-reconciliation skills.
• Data-model, source-to-target, history, grain, SCD, fact, and snapshot testing.
• SSAS Multidimensional, DMV, Extended Events, cube, partition, session, and processing knowledge.
• ALETL parsing, event correlation, duration, outcome, and exception validation.
• Incremental ingestion, watermarking, restartability, idempotency, and duplicate-prevention testing.
• Derived metric, baseline, threshold, severity, override, and RAG validation.
• Power BI KPI, DAX, filter, drill-through, trend, RLS, refresh, and visual testing.

Responsibilities

• Prepare the test strategy, test plan, test scenarios, test cases, test data, entry criteria, and exit criteria.
• Maintain a complete traceable test suite linking requirements, acceptance criteria, test cases, execution results, defects, and evidence.
• Validate raw, staging, curated, dimension, fact, snapshot, configuration, audit, and serving data layers.
• Test source-to-target mappings, data history, dataset grain, keys, relationships, completeness, and reconciliation.
• Validate ALETL message patterns, RunContext correlation, processing duration, status, outcomes, and error details.
• Test malformed, duplicate, incomplete, unmatched, and out-of-sequence event handling.
• Validate cube and partition processing start-and-end pairing, duration, success, failure, and historical trends.
• Test SSAS DMV collectors for collection accuracy, time-series capture, permissions, completeness, scheduling, and auditability.
• Validate SSAS Extended Events capture, ingestion, shredding, watermarking, restartability, duplicate prevention, and collection overhead.
• Test derived metrics, baselines, thresholds, severity, effective-dated overrides, deviations, and RAG status.
• Validate weekday, weekend, and heavy-processing-window baseline scenarios.
• Reconcile Power BI KPIs and DAX calculations against approved SQL Server results.
• Test Power BI filters, datetime selection, drill-through, trends, visual interactions, RLS, refresh, and report accuracy.
• Perform security and access testing, including least-privilege, service-account, database, report, and data-access validation.
• Execute end-to-end integration scenarios across source collection, SQL processing, metric derivation, and Power BI reporting.
• Test failure paths, recovery, safe reruns, restartability, and exception handling.
• Log defects with severity, expected and actual results, reproduction steps, and supporting evidence.
• Verify engineering defect fixes and provide complete regression evidence.
• Support UAT, deployment, rollback validation, production smoke testing, and acceptance.
• Produce the complete test-evidence pack, test-summary report, and closure report.

Skills

Functional testing

SQL Server testing

SSAS testing

Power BI testing

Data reconciliation

Test planning

UAT support

Security testing

Tools

SQL Server

SSAS

Power BI

Job description

India T&M Special Bonus:

Req ID: 391658

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.

We are currently seeking a QA Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Description

Plan and execute functional, system, integration, security, regression, and end-to-end testing for the SSAS monitoring solution. Validate the SQL Server data model, ALETL parser, SSAS DMV and Extended Events collectors, processing and derived metrics, thresholds, and Power BI reports. Perform source-to-target and source-to-report reconciliation, maintain complete requirements traceability, document test evidence, manage defects, verify engineering fixes, and support UAT, deployment, production validation, and test closure.

Key Responsibilities

• Prepare the test strategy, test plan, test scenarios, test cases, test data, entry criteria, and exit criteria.
• Maintain a complete traceable test suite linking requirements, acceptance criteria, test cases, execution results, defects, and evidence.
• Validate raw, staging, curated, dimension, fact, snapshot, configuration, audit, and serving data layers.
• Test source-to-target mappings, data history, dataset grain, keys, relationships, completeness, and reconciliation.
• Validate ALETL message patterns, RunContext correlation, processing duration, status, outcomes, and error details.
• Test malformed, duplicate, incomplete, unmatched, and out-of-sequence event handling.
• Validate cube and partition processing start-and-end pairing, duration, success, failure, and historical trends.
• Test SSAS DMV collectors for collection accuracy, time-series capture, permissions, completeness, scheduling, and auditability.
• Validate SSAS Extended Events capture, ingestion, shredding, watermarking, restartability, duplicate prevention, and collection overhead.
• Test derived metrics, baselines, thresholds, severity, effective-dated overrides, deviations, and RAG status.
• Validate weekday, weekend, and heavy-processing-window baseline scenarios.
• Reconcile Power BI KPIs and DAX calculations against approved SQL Server results.
• Test Power BI filters, datetime selection, drill-through, trends, visual interactions, RLS, refresh, and report accuracy.
• Perform security and access testing, including least-privilege, service-account, database, report, and data-access validation.
• Execute end-to-end integration scenarios across source collection, SQL processing, metric derivation, and Power BI reporting.
• Test failure paths, recovery, safe reruns, restartability, and exception handling.
• Log defects with severity, expected and actual results, reproduction steps, and supporting evidence.
• Verify engineering defect fixes and provide complete regression evidence.
• Support UAT, deployment, rollback validation, production smoke testing, and acceptance.
• Produce the complete test-evidence pack, test-summary report, and closure report.

Skill Set

• Functional, system, integration, security, end-to-end, and regression testing
• Strong SQL Server and SQL-based data-reconciliation skills
• Data-model, source-to-target, history, grain, SCD, fact, and snapshot testing
• SSAS Multidimensional, DMV, Extended Events, cube, partition, session, and processing knowledge
• ALETL parsing, event correlation, duration, outcome, and exception validation
• Incremental ingestion, watermarking, restartability, idempotency, and duplicate-prevention testing
• Derived metric, baseline, threshold, severity, override, and RAG validation
• Power BI KPI, DAX, filter, drill-through, trend, RLS, refresh, and visual testing
• Least-privilege, service-account, database, report, and data-access testing
• Requirements traceability, defect management, test evidence, and reporting
• UAT support, deployment validation, smoke testing, and test closure
• Clear technical documentation and stakeholder communication

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. 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. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. 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. This ensures we can provide timely and effective support tailored to each client’s needs. 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, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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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.