QA Data Engineering
Job title
QA Data Engineering
Business Stream:

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Job Description


• Test scalable, fault tolerant and accurate ETL pipelines
• Test enterprise business analytics and reporting application
• Support application running on PROD
• Responsible for the accuracy, completeness, timeliness, and validity of all data
• Manage multiple projects and act as the face of analytics, attend meetings, interact with executives, and intake requests and actions
• Analyze and solve problems at their root, stepping back to understand the broader context
• Work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm
• Work within the Quality Assurance team to test new functionality, as well as regression testing a multitude of different software applications
• Converse directly with the Business and IT teams to ensure suitable understanding of requirements and required test coverage
• Raise and manage any defects identified throughout the software development life cycle
• Contribute to the IG Group Quality Assurance strategy
• Work as part of an Agile/Scrum development team
• Provide QA guidance to the team

Ability / Expertise

1. Java 8 – professional experience
2. SQL – professional experience
3. Knowledge of Big Data Solutions
4. Understanding of testing methodologies and their application, including UAT and System Testing
5. Energetic and analytical approach to problem solving
1. Scala/python
2. Knowledge of communication protocols: HTTP (rest, json/xml), Kafka, JMS
3. Experience with Redshift and/or other distributed computing systems
4. Cloud environment (AWS)
5. Microservices experience
6. Knowledge of UNIX, Git, Maven, Bamboo or Jenkins, Spring, Junit/Testng
7. Cross-platform testing experience


Degree level education (preferably in Software Engineering, Computer Science, Mathematics or Numerate degree).


1. Ownership – able to take responsibility
2. Initiative – able to offer constructive ideas and take the appropriate action
3. Excellent attention to detail – needed when working within a complex financial domain

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