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ETL QA Lead

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Hi Professionals,

We have an immediate openings for the below role, If interested please apply.

Job Title: ETL QA Lead

Type : 4 months C2H & FULLTIME Conversion
Interview: Telephonic & Skype
JOB RESPONSIBILITIES
Need minimum 11+ years of Overall Expeience.
We are unable to Sponsor at this time.

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.

Preferred Qualifications

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

Best Wishes,

Dany|Recruiter|Sunray Informatics Inc

(Direct) | (E) Desk: EXT 253

Sunray Informatics Inc | 77 Milltown Road Suite C1, East Brunswick, NJ 08816 Web:

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

Hi Professionals,

We have an immediate openings for the below role, If interested please apply.

Job Title: ETL QA Lead

Type : 4 months C2H & FULLTIME Conversion
Interview: Telephonic & Skype
JOB RESPONSIBILITIES
Need minimum 11+ years of Overall Expeience.
We are unable to Sponsor at this time.

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.

Preferred Qualifications

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

Best Wishes,

Dany|Recruiter|Sunray Informatics Inc

(Direct) | (E) Desk: EXT 253

Sunray Informatics Inc | 77 Milltown Road Suite C1, East Brunswick, NJ 08816 Web:

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