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Jobs or company...

Lead QA Tester - Hybrid || W2 only

Salary undisclosed
Checking job availability...
Original
Simplified
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.

Hello,

Hope you are doing good!!

Job Title: Lead QA Tester || W2 only

Job Location: Columbus, OH (Hybrid 3 days onsite in a week) || Need Locals

Contract Length: 3 Months (Contract to Hire)

Required Skills:

QA, lead experience, ETL, will be working with Python/PySpark, Snowflake, Etc.

Job Description We are looking for a Lead QA Test Analyst in our Enterprise Data Warehouse. In this role, you will be part of a team working to develop solutions enabling the business to leverage data as an asset. 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, and 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, metadata 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 the 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 Data Warehouse projects.

Required Skills and Experience

  • 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 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 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 communication skills.
  • Highly motivated with strong organizational, analytical, and problem-solving skills.
  • Ability to effectively prioritize and execute tasks.

Preferred Skills

  • Experience in the financial services industry.
  • Experience testing on Snowflake and AWS S3/EC2/EMR.

Sudhanshu Srivastava

Email -

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.
Report this job
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.

Hello,

Hope you are doing good!!

Job Title: Lead QA Tester || W2 only

Job Location: Columbus, OH (Hybrid 3 days onsite in a week) || Need Locals

Contract Length: 3 Months (Contract to Hire)

Required Skills:

QA, lead experience, ETL, will be working with Python/PySpark, Snowflake, Etc.

Job Description We are looking for a Lead QA Test Analyst in our Enterprise Data Warehouse. In this role, you will be part of a team working to develop solutions enabling the business to leverage data as an asset. 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, and 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, metadata 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 the 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 Data Warehouse projects.

Required Skills and Experience

  • 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 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 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 communication skills.
  • Highly motivated with strong organizational, analytical, and problem-solving skills.
  • Ability to effectively prioritize and execute tasks.

Preferred Skills

  • Experience in the financial services industry.
  • Experience testing on Snowflake and AWS S3/EC2/EMR.

Sudhanshu Srivastava

Email -

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.
Report this job