Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
Enterprise Data Warehouse & Power BI QA
We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms.
Key Responsibilities
Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layersDesign and execute test cases to validate:Source-to-target mappingsData accuracy and completenessBusiness rules and transformationsPerform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targetsCollaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data qualityValidate Power BI dashboards and reports, including:Data accuracy and calculationsFilters and visual behaviorSecurity (Row-Level Security - RLS)Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gapsLog, track, retest, and validate defect fixes within sprint timelinesSupport regression testing, data quality checks, and validation of incremental and historical data loadsRequired Qualifications
Bachelor's degree in Computer Science, Information Systems, or equivalent experience5+ years of hands-on EDW / Data QA experience2+ years of hands-on Power BI testing experienceStrong SQL skills with a solid understanding of data warehousing concepts:ETL processesFact and dimension tablesSlowly Changing Dimensions (SCDs)Experience testing data in platforms such as:SQL ServerAzure SynapseDatabricksor similar data platformsExperience working in Agile / Scrum environmentsStrong analytical, troubleshooting, and problem-solving skillsAbility to collaborate effectively with on-shore and off-shore teamsLocation: Remote
Employment Type: Full-time
Interested candidates can apply by sending their resume to:
Read Less
