DataStage Testing Specialist

Published: August 7, 2017
Job Type
Education Required
Bachelor’s degree in Computer Science or Information Systems


Requisition No.: 250527

Status: Full Time

Project Duration: 5 months

Position Description:

Senior Testing Specialist for Big Data and DataStage. Testing Position supporting a project for Global Data Insight and Analytics, functioning in a quality/testing role for the transformation and standardization of data in DataStage and Hadoop environment.

Skills Required

• Must be a self-starter with the ability to work on complex projects and analyze business requirements independently
• Ability to design test scenarios/test cases for positive, negative, alternative flows and ensure complete requirement coverage
• Must be able to identify and document testing issues and quality risks, as well as participate in defect remediation
• Willingness to follow the company QCoE Agile Testing practices and guidelines, including Defect Management using HP ALM Quality Center tool

Experience Required

• Minimum 5 years of experience testing Data Warehouse or Big Data applications using ETL 1+ years of proven experience testing transformations from a DataStage application
• 3 to 5 years proven experience with designing test scenarios/test cases
• Experience with advanced query and scripting language (ex. HQL , python)
• 1+ years of proven test experience in the range of Big Data architectures and frameworks including Hadoop
• 0.5 to 1 year of any application development experience (Preferably Java, ETL,Mainframe, LINUX/UNIX etc)

Experience Preferred

• Experience working on a Scaled Agile Frameworks Delivery Team using practices from Behavior Driven Development
• Ability to work in a diverse global team environment sharing ideas and working collaboratively
• Must have strong organizational and analytical skills
• Must have excellent interpersonal skills with both written and verbal communication skills
• Must be able to work independently with minimal supervision when necessary
• Ability to evaluate and implement new initiatives on process improvement and technology projects
• Must be available in Dearborn Office for 7:00 am meetings (as needed)
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