ETL QA Lead
Actively participate in the review of project requirements, data mappings and technical design specifications.
Create test strategies and test plans for Data Warehouse projects, mapping back to the project requirements to ensure proper test coverage.
Execute test cases using manual and/or automated test processes.
Execute database queries to support test execution in Azure DevOps.
Perform ETL validation according to data mapping, execute data profiling, reconciliation of data, meta data validation, initial and delta validation for different SCD types.
Analyze data, troubleshoot data issues, and create action plans to address data quality issues.
Coordinate test execution with other application teams and UAT partners.
Create and communicate test status with project team members and stakeholders.
Identify, document, and communicate testing defects.
Collaborate with project team on defect analysis and triage.
Support continuous improvement by identifying and solving opportunities to define or enhance
Key Responsibilities
Actively participate in the review of project requirements, data mappings and technical design specifications.
Create test strategies and test plans for Data Warehouse projects, mapping back to the project requirements to ensure proper test coverage.
Execute test cases using manual and/or automated test processes.
Execute database queries to support test execution in Azure DevOps.
Perform ETL validation according to data mapping, execute data profiling, reconciliation of data, meta data validation, initial and delta validation for different SCD types.
Analyze data, troubleshoot data issues, and create action plans to address data quality issues.
Coordinate test execution with other application teams and UAT partners.
Create and communicate test status with project team members and stakeholders.
Identify, document, and communicate testing defects.
Collaborate with project team on defect analysis and triage.
Support continuous improvement by identifying and solving opportunities to define or enhance QA process.
Perform Functional, Regression, Negative and migration testing for the Data warehouse projects.
To perform these duties, the Lead QA Testing Analyst position requires 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.
Bachelors degree or military experience in related field (preferably computer science).
Minimum 2 years of experience with Snowflake and AWS Cloud
Minimum 5 years of ETL testing experience in data warehouse environment.
Minimum 5 years of experience analyzing data, troubleshooting data issues, and creating action plans to address data quality issues.
Minimum 5 years of experience writing SQL queries.
Understanding of enterprise data warehousing best practices and standards.
Experience leading QA Analysts on a project team.
Excellent verbal and written communications skills.
Highly motivated with strong organizational, analytical, and problem-solving skills.
Ability to effectively prioritize and execute tasks.
Mandatory Skills
ETL - Datawarehouse concepts
AWS, Glue
SQL
python
SNOWFLAKE
Secondary Skills
zena
pyspark
infogix
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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