Overview
On Site
USD 50.00 - 65.00 per hour
Full Time
Skills
Software Development Methodology
Technical Drafting
Test Plans
Mapping
Test Cases
Automated Testing
Database
Data Mapping
Data Profiling
Meta-data Management
SCD
Test Execution
Acceptance Testing
Collaboration
Defect Analysis
Continuous Improvement
Regression Analysis
Migration
Testing
Extract
Transform
Load
IBM InfoSphere DataStage
Datastage
Python
PySpark
Tableau
Microsoft Azure
DevOps
Mainframe
Military
Computer Science
Snow Flake Schema
Amazon Web Services
Cloud Computing
ETL QA
Data Quality
Writing
SQL
Data Warehouse
Quality Assurance
Analytical Skill
Problem Solving
Conflict Resolution
Taxes
Life Insurance
Business Transformation
Law
Job Details
Lead QA Test Analyst, Data Warehouse
Description
Lead QA Test Analyst in our Enterprise Data Warehouse.
As a Lead QA Test Analyst, you will work to develop test strategies and test plans for Data Warehouse projects ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise. You will also execute test cases and communicate status to project team members and key stakeholders. Key technologies include Snowflake, Python/PySpark and DataStage.
If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you.
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.
Basic Qualifications
Bachelor's 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.
Pay and Benefits
The pay range for this position is $50.00 - $65.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Columbus,OH.
Application Deadline
This position is anticipated to close on Jun 25, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Description
Lead QA Test Analyst in our Enterprise Data Warehouse.
As a Lead QA Test Analyst, you will work to develop test strategies and test plans for Data Warehouse projects ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise. You will also execute test cases and communicate status to project team members and key stakeholders. Key technologies include Snowflake, Python/PySpark and DataStage.
If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you.
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.
Basic Qualifications
Bachelor's 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.
Pay and Benefits
The pay range for this position is $50.00 - $65.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Columbus,OH.
Application Deadline
This position is anticipated to close on Jun 25, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.