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QA lead

Salary undisclosed

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Position : QA lead
Location : Remote
Contract : 6+ month

They need someone who is very strong in Sql, Crystal reports, Power BI and excellent communication
Also should be able to write SQL as some of the tickets needs that skills ( join tables, de dup). Nothing fancy but enough to start the triage

Requirement:
Develop and execute test plans, test cases, and test scripts to validate data accuracy and integrity compared against business and functional requirement/design documents.
Perform data verification and validation checks to ensure data consistency across multiple systems.
Identify and document data quality issues, discrepancies, and anomalies.
Must be able to validate against the underlying data from different source systems.
Must have knowledge of PowerBI and semantic data models.
Work closely with data engineers, data scientists, and business analysts to understand data requirements and ensure data quality.
Communicate data quality findings and recommendations to relevant stakeholders.
Must be able to train other developers and BAs on effective QA processes and methodologies.

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

Position : QA lead
Location : Remote
Contract : 6+ month

They need someone who is very strong in Sql, Crystal reports, Power BI and excellent communication
Also should be able to write SQL as some of the tickets needs that skills ( join tables, de dup). Nothing fancy but enough to start the triage

Requirement:
Develop and execute test plans, test cases, and test scripts to validate data accuracy and integrity compared against business and functional requirement/design documents.
Perform data verification and validation checks to ensure data consistency across multiple systems.
Identify and document data quality issues, discrepancies, and anomalies.
Must be able to validate against the underlying data from different source systems.
Must have knowledge of PowerBI and semantic data models.
Work closely with data engineers, data scientists, and business analysts to understand data requirements and ensure data quality.
Communicate data quality findings and recommendations to relevant stakeholders.
Must be able to train other developers and BAs on effective QA processes and methodologies.

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