Validate dashboards/reports in Tableau, Power BI, or other standard BI tools.
Perform functional, regression, and data validation testing.
Ensure data consistency and visual accuracy across platforms.
Collaborate with developers and analysts to resolve issues.
Develop and maintain test plans, test cases, and test scripts.
Conduct performance testing to ensure system stability and responsiveness.
Document and track defects; work with the development team to ensure timely resolution.
Provide regular status updates and reports on testing activities.
Requirements:
Proven experience in BI testing, especially with Tableau or Power BI
Strong understanding of data validation and testing methodologies
Excellent analytical and problem-solving skills
Ability to work collaboratively with cross-functional teams
High attention to detail and commitment to quality
Proficiency in SQL and data querying
Familiarity with Agile methodologies
Strong communication skills
experience
6
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QA BI Engineer
Job Description
Responsibilities:
Validate dashboards/reports in Tableau, Power BI, or other standard BI tools.
Perform functional, regression, and data validation testing.
Ensure data consistency and visual accuracy across platforms.
Collaborate with developers and analysts to resolve issues.
Develop and maintain test plans, test cases, and test scripts.
Conduct performance testing to ensure system stability and responsiveness.
Document and track defects; work with the development team to ensure timely resolution.
Provide regular status updates and reports on testing activities.
Requirements:
Proven experience in BI testing, especially with Tableau or Power BI
Strong understanding of data validation and testing methodologies
Excellent analytical and problem-solving skills
Ability to work collaboratively with cross-functional teams
High attention to detail and commitment to quality
Proficiency in SQL and data querying
Familiarity with Agile methodologies
Strong communication skills
experience
6
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5+ years of experience in automotive firmware development, preferably with OEMs,Tier-1 suppliers, or top automotive software providers.● Strong expertise in embedded C/C++ programming for real-time automotive applications.● Hands-on experience with AUTOSAR Classic, Adaptive AUTOSAR, or similarmiddleware solutions.● Experience with real-time operating systems (RTOS), such as FreeRTOS and QNX, forsafety-critical and performance-driven automotive applications
5+ years of experience in automotive firmware development, preferably with OEMs,Tier-1 suppliers, or top automotive software providers.● Strong expertise in embedded C/C++ programming for real-time automotive applications.● Hands-on experience with AUTOSAR Classic, Adaptive AUTOSAR, or similarmiddleware solutions.● Experience with real-time operating systems (RTOS), such as FreeRTOS and QNX, forsafety-critical and performance-driven automotive applications
Job Title Data Engineer Job Family SummaryAs a Data Engineer, you will join Genus and work within the Data Platform Engineering team alongsidethe Data Platform Product Owner and Senior Data Engineer. In addition, you will be collaborating withthe Data Operations Team and Data Enablement Team, along with Key stakeholders and other membersof the team, such as Data Architects and Analysts, to design and deliver advanced data engineeringsolutions that enable s
Job Title Data Engineer Job Family SummaryAs a Data Engineer, you will join Genus and work within the Data Platform Engineering team alongsidethe Data Platform Product Owner and Senior Data Engineer. In addition, you will be collaborating withthe Data Operations Team and Data Enablement Team, along with Key stakeholders and other membersof the team, such as Data Architects and Analysts, to design and deliver advanced data engineeringsolutions that enable s
• Python: Excellent Python skills with a focus on asynchronous programming. • Microservices: Experience with microservices patterns (API Gateways, Service Discovery, Event-driven architecture). • Web Services: Strong proficiency in Fast API; experience with GraphQL is a significant plus. • Data Engineering: Experience in data modelling, ETL pipelines, and working with SQL/NoSQL databases in a distributed context. • Deployment: Experience with Docker, Kuber
• Python: Excellent Python skills with a focus on asynchronous programming. • Microservices: Experience with microservices patterns (API Gateways, Service Discovery, Event-driven architecture). • Web Services: Strong proficiency in Fast API; experience with GraphQL is a significant plus. • Data Engineering: Experience in data modelling, ETL pipelines, and working with SQL/NoSQL databases in a distributed context. • Deployment: Experience with Docker, Kuber
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