IT Quality Engineer

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Job Description:

  • Collaborate with multiple teams to ensure data integrity and validation using the right tools and automation.
  • Be proficient in pre-screening raw data, vital checks on completeness and integrity of data, field tests on Aggregation, Reconciliation tests and Report testing.
  • Evaluate the quality of data received from data sources to ensure that it meets company standards.
  • Review Data Models, Data Mappings, and Architectural Documentation to execute effective system integration testing.
  • Work closely with Business Analysts, Architects, Development team and Product Owners to ensure data housed in multiple source systems is loaded to target accurately.
  • Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.
  • Build new scripts and troubleshoot existing scripts.
  • Solve complex record and run issues including complex correlation problems.
  • Verify and validate data accuracy, completeness, and consistency using Extract/Transform/Load (ETL) tools and SQL queries.
  • Analyzes and troubleshoots erroneous results, determines the root cause of defects, logs the defects JIRA/QTest and enables defect management, including working with the development team on the resolution of Software related defects.
  • Drive opportunities and lead efforts to improve existing test processes or create new to increase efficiency and productivity in test case development, scheduling, or deployment.
  • Analyze test results and prioritize and log defects with appropriate information.
  • Manage multiple projects/deadlines with changing priorities.
  • Other duties as assigned.

Requirements:

  • Bachelor’s degree or foreign equivalent degree in Computer Science or related technical field and 3 years of experience with ETL/Data warehouse test or development experience.
  • Experience must include: 3 years of experience with data analysis.
  • 3 years of experience in SQL for data querying, validation, and analysis.
  • 3 years of experience with complex joins, subqueries, and performance optimization.
  • 3 years of experience in Scala/Python for test automation and data manipulation.
  • 3 years of experience on Snowflake and Azure Databricks.
  • 3 years of experience identifying changes, driving improvements, and streamlining processes.
  • Demonstrated knowledge of: Software development lifecycle.
  • Microsoft Azure technologies.

Benefits:

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