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IQVIA

Test Engineer – SQL, ETL, Data Validation

IQVIA

. Maintain database objects, ETL processes, reports, and backend components .

Posted 10/14/2026full-timeBangalore • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL Server, ETL processes, and data validation, with a strong focus on database design principles and testing methodologies. Proficient in collaborating with cross-functional teams to enhance data quality and support continuous improvement initiatives.

Highest-signal resume keywords
Microsoft SQL ServerETL ProcessesData ValidationAgile MethodologiesTest Automation

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQL Query DevelopmentStored ProceduresFunctionsViewsTriggersData ReconciliationDatabase Design PrinciplesData Quality AnalysisTesting MethodologiesDefect Management
Soft Skills
Analytical SkillsTroubleshootingProblem-SolvingCommunication Skills
Tools & Technologies
JiraSPIRATestRailAzure DevOpsSSRS
Industry Keywords
Data WarehousingHealthcareEnterprise ReportingRelease ManagementDevOps Practices

Tech Stack

Tools & technologies
AzureETLMS SQL ServerSDLCSQL

About the role

Key responsibilities & impact
  • Maintain database objects, ETL processes, reports, and backend components
  • Participate in requirements analysis, solution design, coding, unit testing, database validation, ETL testing, defect resolution, and production support
  • Write test plans and detailed test scripts
  • Perform unit, functional, integration, system, regression, user acceptance, backend, database, and data validation testing
  • Test software before implementation and document and resolve problems
  • Analyze business, functional, and technical requirements and participate in solution design
  • Enhance, maintain, and validate SQL scripts, stored procedures, functions, views, triggers, reports, data extracts, and other database objects
  • Design, support, execute, and validate ETL processes, database solutions, and data workflows
  • Conduct data reconciliation, source-to-target validation, data quality analysis, and report verification
  • Monitor, troubleshoot, test, and validate SQL jobs, batch processes, applications, databases, ETL workflows, and production releases
  • Identify, document, track, and verify defects; participate in root cause analysis, defect triage, peer reviews, and resolution activities
  • Collaborate with developers, QAs, DBAs, business analysts, and stakeholders
  • Support deployments, release validation, production verification, and post-release testing
  • Contribute to continuous improvement initiatives, testing processes, test coverage, automation opportunities, and overall solution quality

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience)
  • 2-4 years of experience in validating data-centric applications
  • Strong hands-on experience with Microsoft SQL Server and complex SQL query development
  • Experience developing and testing stored procedures, functions, views, triggers, and database jobs
  • Experience working with ETL processes and data integration solutions
  • Strong understanding of database design principles, data validation, and data quality concepts
  • Experience validating data transformations, mappings, and source-to-target reconciliations
  • Familiarity with reporting solutions and report validation techniques
  • Good understanding of SDLC, STLC, Agile methodologies, and defect management processes
  • Experience using tools such as Jira, SPIRA, or TestRail
  • Strong analytical, troubleshooting, and problem-solving skills
  • Excellent verbal and written communication skills
  • Experience in Azure DevOps and Test automation will be an added advantage
  • Experience with report development and support using SSRS, ETL or similar reporting platforms
  • Basic understanding of automation testing frameworks and scripting
  • Experience in data warehousing, healthcare, or enterprise reporting environments
  • Familiarity with release management, and DevOps practices
  • Knowledge of performance testing and database optimization techniques