Job Summary: We are seeking a Lead QA Test Analyst to join our Enterprise Data Warehouse team. In this role, you will work on developing solutions to help the business leverage data as an asset. As a Lead QA Test Analyst, you will be responsible for creating test strategies and test plans for Data Warehouse projects, ensuring that all IT SDLC processes are documented and adhered to. You will collaborate closely with multiple technology teams across the enterprise, execute test cases, and communicate progress to project team members and stakeholders. Key technologies include Snowflake, Python/PySpark, and DataStage.
If you view data as a strategic asset, believe in the value of good data and insights, and are passionate about continuous improvement and learning, this role is for you.
Key Responsibilities: - Actively participate in reviewing project requirements, data mappings, and technical design specifications.
- Develop test strategies and test plans for Data Warehouse projects, ensuring proper test coverage mapped back to project requirements.
- Execute test cases using manual and/or automated testing processes.
- Execute database queries to support test execution within Azure DevOps.
- Perform ETL validation according to data mapping, execute data profiling, reconciliation of data, metadata validation, and initial/delta validation for different SCD types.
- Analyze data, troubleshoot data issues, and create action plans to resolve data quality issues.
- Coordinate test execution with other application teams and UAT partners.
- Communicate test status with project team members and stakeholders.
- Identify, document, and communicate testing defects.
- Collaborate with the project team on defect analysis and triage.
- Support continuous improvement initiatives by identifying and enhancing QA processes.
- Perform functional, regression, negative, and migration testing for Data Warehouse projects.
Required Qualifications: - Theoretical and practical knowledge of quality assurance, testing principles, ETL technologies, and tools, including AWS, Snowflake, Snowsight, DataStage, Python/PySpark, ASG Zena, Infogix, Tableau, Azure DevOps, Mainframe, and SharePoint.
- Bachelor†s degree or military experience in a related field (preferably in computer science).
- Minimum 2 years of experience with Snowflake and AWS Cloud.
- Minimum 5 years of ETL testing experience in a data warehouse environment.
- Minimum 5 years of experience analyzing data, troubleshooting data issues, and creating action plans to resolve data quality issues.
- Minimum 5 years of experience writing SQL queries.
- Strong understanding of enterprise data warehousing best practices and standards.
- Experience leading QA Analysts on project teams.
- Excellent verbal and written communication skills.
- Highly motivated with strong organizational, analytical, and problem-solving abilities.
- Ability to effectively prioritize and execute tasks in a fast-paced environment.
Preferred Qualifications: - Experience in the financial services industry.
- Experience testing on Snowflake and AWS S3/EC2/EMR.
Certifications (if any): (Insert any relevant certifications if applicable, such as AWS or Snowflake certifications.)
Primary Skills: QA
Lead Experience
ETL
Python/PySpark
Snowflake
Education: Bachelors Degree