QA Engineer

Req

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).

QA Engineer

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.

• 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, Run Context 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.

• 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…