SDET 181478

• You will also demonstrate your overall dedication to the wider WI Quality Engineering Team by scanning for opportunities to bring the outside in and help keep WI Quality Engineering at the forefront of Quality Engineering innovation.
• You will work with your scrum team to move quality to the beginning of the process, and to coordinate quality activities throughout the epic life cycle.

Software Design for Test (SDET), Software Development, Data Lake, Big Data, Data Warehousing, Software Testing, Agile Programming Methodologies, Retirement Plan, Financial Services, Retirement and Pension Management, * 5+ years of Software Development or proven relevant experience desired

• 2+ years of Big Data, Data Lake or Data Warehouse experience is desired
• 6+ years of Software Quality Assurance or solid experience desired
• Bachelor’s Degree or higher
• Expert knowledge of application/software development, QA principles, and agile methodology
• Experience in retirement plan administration or financial services a plus
• Knowledge of data pipeline testing will be a distinct advantage
• Ability to work effectively with product development, external teams, and management
• Knowledge of CI/CD Pipelines
• ISTQB Certification (nice to have)
• Strong SQL skills plus Java and Python development experience
• Experience as Software Engineer in test automation of RESTful services (Cucumber, Junit, Selnium, RestAssured, Git, Gradle, Maven)
• Data Engineer working with the latest Big Data technologies and tools (Snowflake, Airflow, AWS, Azure)
• Experienced in Big Data Reporting Tools (OBIEE / Tableau / Power BI)
• Experience with ETL Data Pipeline testing of Data Warehouse platforms; exposure to iCEDQ test tool preferred
• Proven experience with the software development process including analysis, design, coding, system and user testing, problem resolution and planning
• Proven communication and social skills will be key to success in this role. A strong ability to maintain good working collaborations is important
• You will be delivering quality assurance for Data Engineering and your overall experience of QA will come to the fore. You will be capable of building an end-to-end test strategy, determining exit criteria, chipping in to our automation roadmap and have strong awareness of our audit compliance commitments.
• Daily you may be working on Quality Engineering, analysis, development, or DevOps stories as part of a squad and your agile experience will be essential to size stories and assist with sprint planning.
• You will be collaborating with squad resources to ensure testing efforts are completed by the team