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Position: Senior Solution Engineer - Senior Test Engineer GIS
Experience: 6+ years
Annual Salary Budget: 20 LPA
No of Positions - 1
Shift Timing: General
Mode of Work: Office (Hyderabad) / Pune
Senior Solution Engineer - Senior Test Engineer
Overview:
The Senior Test Engineer will be responsible for hands-on quality assurance and testing of GIS applications and data workflows, ensuring the reliability, accuracy, and performance of Esri-based solutions. This role focuses on detailed test planning, preparing test scripts and scenarios, executing system, integration, regression, and performance tests, and producing clear test reports for GIS projects in the utilities domain.
Responsibilities:
Develop test plans, test cases, and test strategies for GIS applications and data workflows. Execute functional, integration, regression, performance, and end-to-end testing for Esri-based solutions (Arc GIS Pro, Arc GIS Enterprise, Arc FM, Utility Network). Validate GIS data integrity, spatial accuracy, topology rules, and workflow configurations. Create and maintain automated test scripts using Python (Arc Py) for workflow and data validation. Use FME or similar ETL tools to validate data migration, transformation, and system integrations. Track test execution, manage defects, and prepare test reports using tools such as Jira, Azure Dev Ops, or Test Rail. Collaborate with developers, GIS analysts, data engineers, and business teams to resolve issues and verify fixes. Participate in Agile ceremonies and contribute to quality improvements, test automation, and best practices.Qualifications:
Bachelor's degree in GIS, Computer Science, IT, or a related field. 6-8 years of software testing experience with strong GIS testing expertise. Hands-on experience with Arc GIS Pro, Arc GIS Enterprise, and preferably Arc FM and Utility Network. Experience with utility network models and GIS data workflows in Electric, Gas, Water, or Telecom domains. Experience with Python (Arc Py) for automation and data validation. Working knowledge of FME or similar data transformation/validation tools. Strong understanding of functional, integration, regression, performance, and data validation testing. Experience with testing tools such as Jira, Azure Dev Ops, Test Rail, Postman, JMeter, or similar. Strong analytical, problem-solving, communication, and Agile collaboration skills. Note: The ideal candidate will have 6–8 years of experience as a GIS QA/Test Engineer with hands-on expertise in Arc GIS Enterprise, Arc GIS Pro, Arc FM, and preferably Utility Network. They should have strong experience in functional, regression, integration, and GIS data validation testing, including topology and spatial accuracy checks. Practical experience with Python (Arc Py) automation, FME-based ETL/data migration validation, and testing tools such as Jira or Azure Dev Ops is expected. Candidates should come from utility GIS projects (Electric, Gas, Water, or Telecom)
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