Description

Job Description:

Senior Software Engineer In Test

The Role

Working in a co-located Agile team, we are looking for a Senior Software Engineer in Test to work with the team to develop a QA automation framework to validate the integrity, quality, and performance of the data pipelines. This role is not just limited to test work, but will also include analysis, development, and DevOps work for the cloud data platform.

The Team

This is an exciting new role within the Workplace Investing (WI) Data Engineering space and the team working on our Pooled Employer Plans within the Emerging Business-DC Innovations space.

The Expertise and Skills You Have

• 6-9 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
• Strong SQL skills plus Java and Python development experience
• Experience as Software Engineer in test automation of RESTful services (Cucumber, Junit, Selenium, 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)
• 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)
• 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
• 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.
  

Certifications:

Category:

Information Technology
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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