The Data Testing Engineer plans and manages processes through the life cycle of data analytics, advocates for data integrity and availability, and drives the resolution of issues that impede the quality assurance effort. This role will work in the Enterprise Data and Information Management team in the Information Services Department. The candidate will have experience with managing testing efforts across multiple data products and bringing to market-related enterprise capabilities in the cloud. Require experience with integration, regression, performance, and functional testing to ensure compliance with business requirements and Navy Federal business practices. Must cultivate effective engagement with business stakeholders on User Acceptance Testing to ensure deliverables meet expectations. Assist in the analysis of functional and technical requirements and creating test plans for data products. Have the ability to drive initiatives independently.
Responsibilities:
- Collaborate in Testing for enterprise data analytics products.
- Validate data source, data transformations in Target state tables in Data Lake.
- Ensure timelines/deadlines/quality of deliverables
- Ensure processes and procedures are in place to drive quality through the software development life cycle
- Lead testing from inception to completion of successful production implementation
- Develop test plan/scope/schedule/cost/communications
- Write automation test plans, identify test cases, document testing strategy
- Create, modify and/or locate the data and conditions needed to execute test cases
- Modify, coordinate, and schedule input to maintain the test environments
- Create and edit test cases in accordance with business requirements
- Identify areas for improved testing processes
- Facilitate defect management and resolution
- Report testing metrics including time spent, testing time lost, and discrepancies found
- Ensure clear, concise, and effective communication of material
- Promote agile principles and methodology
Requirements:
- Bachelor's Degree in Computer Science or the equivalent combination of training, education and experience
- Experience in testing in Databricks Notebook using SQL/spark script.
- Knowledge of development or operations framework methodologies, including Information Technology Infrastructure Library (ITIL), Systems Development Life Cycle (SDLC), etc.
- Experience in testing data integration processes
- Experience with Agile software development practices and tools including Scrum, Azure Boards, JIRA, Git, CI/CD, etc.
- Experience with executing test plans on Cloud data services
- Experience in software development with proficiency in relevant coding languages (e.g., Python, SQL, Java)
- Experience designing, implementing, and validating test plans
- Experience writing test automation scripts
- Experience with test management tools
- Experience with test automation frameworks
- Experience with application performance monitoring and observability tools
- Experience in testing complex derivations in Azure
- Knowledge of master data/reference data technologies and implementation approaches
- Knowledge of NoSQL
- Attention to detail and ability to identify, isolate and document defects
- Research, analytical, and problem-solving skills
- Organizational, planning and time management skills
- Ability to work independently and in a team environment
- Effective skill presenting findings, conclusions, alternatives, and information clearly and concisely
- Effective verbal and written communication skills Comments