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Suyati Technologies Private Limited

2nd Floor, B-Wing,
Thapasya building,
Infopark, Kakkanad,
Kochi 682030


Career Opportunities:

Quality Engineer (Automation)

Job Description:

Position : Quality Engineer (Automation)

Location : Kochi/ Bangalore

Experience : 4-6 years

Minimum Requirements:

Bachelors of Engineering degree or equivalent
4-6 years of hands on experience in developing and executing exploratory and automated tests in Big Data engineering projects.

Skills Required:

Hands on experience in data ingestion testing, data processing testing, and data storage testing.
Proven work experience in Manual Testing, and Automation Testing
Experience in writing clear, concise and comprehensive test plans and test cases
Solid knowledge of SQL and scripting
Unafraid to write code to break code
Ability to write automated integration testing
Experience working in an Agile/Scrum development process
Working experience in Azure Cognitive Search is a plus
Experience with any part Azure Data Engineering (Azure Data Factory, Azure Data Lake, Azure Storage, Azure Data Bricks, and Azure Data Lake Analytics) is a plus
Experience with performance and/or security testing is a plus
Experience in DevOps environment is a plus

Job Description:

Review requirements, specifications and technical design documents to provide timely and meaningful feedback
Review the code produced by Data Engineering to load the necessary data from local and group sources onto the shared platform that are necessary for analysis
Create detailed, comprehensive and well-structured test plans and test cases
Estimate, prioritize, plan and coordinate testing activities
Define, build, automate, execute testing for code in an agile practice and according to the sprint planning.
Design, develop and execute automation scripts using open source tools
Identify, record, document thoroughly and track bugs
Perform thorough regression testing when bugs are resolved
Develop and apply testing processes for new and existing products to meet client needs
Monitor debugging process results
Investigate the causes of non-conforming software and train users to implement solutions
Track quality assurance metrics, like defect densities and open defect counts