Data Test Engineer

Must be able to work in Central Time Zone.

Looking for a Data-focused test engineer:

With experience in Data Catalog, Data Quality, Data Governance, Master Data Management and/or Data Stewardship technologies and processes

To work as part of an agile product team, delivering tested changes aligned with each sprint to support development lifecycles

With the potential to evolve more predictive and intelligent testing approaches based on automation and innovative testing products & solutions

To be a proactive, self-motivated and independent contributor with the ability to work in a fast-paced environment and deliver high-quality work on tight schedules

Position responsibilities include:

Partner with Data Engineers, stewards and others to gather and define business requirements, understand technical designs and systems and to support the development lifecycle of the product team

Develop and drive risk-based testing strategies that may span multiple product teams, systems and dependencies

Understanding ETL logic in order to write complex SQL queries for data quality validation

Identify and analyze data discrepancies and data quality issues; work to ensure data consistency and integrity

Capture testing artifacts and provide reports based on meeting test deliverables

Ensure all defect artifacts are documented, triaged, and resolved in a timely manner

Coach and mentor others on testing practices and tools

Requirements

What You'll Need...

2-4 years of Python or Java scripting experience

Previous experience as a DBA and/or a strong understanding of DB structures

Ability to query databases using SQL to investigate discrepancies in data using comparative analysis techniques

Experience working with APIs and in analyzing JSON and/or XML outputs

Experience using tools such as ASG, Informatica, and/or Alation

Strong knowledge of data structures, algorithms, enterprise systems, and asynchronous architectures

Enterprise understanding in test planning, test data management, automated & manual test execution, and test management tools to support a complex data landscape

Proven experience in defining and executing testing strategies by partnering with business and development teams to understand project scope, risk and data workflows.

Must have experience with CI/CD pipelines, in-sprint test automation and CI integration

One plus years of agile experience using SCRUM or Kanban

Understanding of QA methodologies, life cycle and processes

Strong knowledge and extensive experience with unit, functional and performance testing is desired

Bachelor or higher-level degree in MIS, Data Analytics, Data Science, Computer Science or Computer Engineering preferred

Financial Services background desired