About Cognizant
Cognizant is a leading global technology company with a strong presence in Norway, featuring 420+ professionals across Oslo, Stavanger, Stord, and Kristiansand. Our team specializes in AI, cloud services, data analytics, and software development, backed by strategic collaborations with hyperscalers like AWS, Microsoft, Google, Snowflake, and Databricks.We drive innovation through local and global Centers of Excellence and have a proven record of transforming industries using cutting-edge AI and data technologies.About the RoleAs an ETL (Extract, Transform, Load) Tester, you'll be instrumental in ensuring accurate, reliable, and high-performing data pipelines across systems. Your work will help maintain data integrity, ensure high-quality analytics, and empower data-driven decision-making.
Responsibilities
• Develop and execute ETL test cases and strategies
• Perform source-to-target data validation for completeness and accuracy
• Validate transformation logic and verify business rule mapping
• Conduct data quality checks and anomaly detection
• Automate ETL testing using scripting languages
• Collaborate with cross-functional teams (data engineers, developers, analysts)
• Log and manage defects using tools such as JIRA, HP ALM, or TestRail
• Document test plans, results, and audit artifacts
• Participate in performance and volume testing
• Ensure data governance and compliance (GDPR, HIPAA)
• Support CI/CD workflows by integrating ETL tests into pipelines
Must-Have Skills
Requirements
SQL & Querying - Strong SQL for complex source-to-target validations
ETL Tools-Experience with Informatica, IDMC
Data Modeling - Understanding of dimensional modeling (Star/Snowflake schemas)
Scripting - Python, Shell, or PowerShell for automation
Data Profiling - Knowledge of tools for quality checks and profiling
Integration & Governance - Understanding of business rules and compliance standards
Test Tools - Experience with JIRA, HP ALM, TestRail, Zephyr
Comparison Automation - Familiarity with QuerySurge, Datagaps
Cloud Knowledge - Basic understanding of Azure data services
Performance Testing - Validating ETL performance under high-volume scenarios
CI/CD Integration - Experience integrating tests in automated deployment workflows
Nice-to-Haves
• Hands-on experience with Azure services
• Several years in ETL testing or data quality assurance
• Certifications in ETL tools or cloud platforms
• Exposure to big data tech like Hadoop, Spark
Net per hour - B2B
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