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Manual Data Tester - Senior Engineer
Iris Software
naukri
Noida
3-6 years
Not Disclosed
Full time
04 May 2026
Top Skills:
Business RulesRegressionAgileTest ManagementAnalyticsSql ServerApi TestingJsonAwsRestEtlJiraArchitectureS3Data QualityDbtLambdaBddSqlAws ServicesData EngineeringSprintDatabricksUser StoriesAgileApi TestingArchitectureAwsBiCloudDashboardData AccessData PipelineData QualityData TransformationData ValidationDatabricksDefect ManagementEtlGherkinJiraJsonLambdaPostmanRestS3Sprint PlanningSqlSql ServerTest ManagementWeb TestingZephyr

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Job Description iconJob Description
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Manual Data Tester - Senior Engineer

Location:Noida, UP, India

Job DescriptionData Platform Testing
  • Analyze user stories, data models, DBT transformation logic, and mapping documents to build comprehensive data test cases.
  • Execute end-to-end ETL/Data pipeline testing across multiple layersraw, staging, curated, and analytics layers.
  • Validate data transformations implemented in DBT models, ensuring correctness of joins, aggregations, schemas, and business rules.
  • Perform detailed data validation using SQL , SQL Server, and Databricks environments.
  • Test data ingestion workflows built on AWS services such as S3, Glue, Lambda, Step Functions, etc.
  • Conduct API testing for data ingestion, extraction, and system integrations.
  • Validate BI dashboards and metrics on Sigma, ensuring accuracy, filters, and data freshness.
Functional Web Testing
  • Test web-based components (if any) that interact with the data platform such as admin portals, configuration panels, or data access layers.
Defect Management Collaboration
  • Identify, reproduce, and document defects using Jira, ensuring proper data-level evidence.
  • Collaborate closely with Data Engineers, DBT developers, and Cloud teams to understand transformations, data flows, and architecture impacts.
  • Participate actively in Agile ceremoniesstand-ups, grooming, sprint planning, retrospectives.
Quality Process Contribution
  • Contribute to data quality processesvalidation rules, sampling methodologies, reconciliation checks, regression strategies.
  • Continuously improve test artifacts, test data, and quality coverage.
  • Stay current with modern data engineering and cloud testing practices.
Skills

Skills: Strong SQL skills with ability to write complex joins, aggregations, window functions, and data comparisons. Databricks DBT (models, seeds, snapshots, lineage). Exposure to AWS services relevant to data workflows. Experience in API testing (Postman, Swagger, REST/JSON validation). Familiarity with Gherkin and BDD-style test documentation. Test management experience using Zephyr, Jira. Strong experience in creating test plans, test scenarios, regression packs. Excellent communication and coordination skills.