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 deliverablesEnsure processes and procedures are in place to drive quality through the software development life cycleLead testing from inception to completion of successful production implementationDevelop test plan/scope/schedule/cost/communicationsWrite automation test plans, identify test cases, document testing strategyCreate, modify and/or locate the data and conditions needed to execute test casesModify, coordinate, and schedule input to maintain the test environmentsCreate and edit test cases in accordance with business requirementsIdentify areas for improved testing processesFacilitate defect management and resolutionReport testing metrics including time spent, testing time lost, and discrepancies foundEnsure clear, concise, and effective communication of materialPromote agile principles and methodology

Requirements:

Bachelor's Degree in Computer Science or the equivalent combination of training, education and experienceExperience 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 processesExperience with Agile software development practices and tools including Scrum, Azure Boards, JIRA, Git, CI/CD, etc.Experience with executing test plans on Cloud data servicesExperience in software development with proficiency in relevant coding languages (e.g., Python, SQL, Java)Experience designing, implementing, and validating test plansExperience writing test automation scriptsExperience with test management toolsExperience with test automation frameworksExperience with application performance monitoring and observability toolsExperience in testing complex derivations in AzureKnowledge of master data/reference data technologies and implementation approachesKnowledge of NoSQLAttention to detail and ability to identify, isolate and document defectsResearch, analytical, and problem-solving skillsOrganizational, planning and time management skillsAbility to work independently and in a team environmentEffective skill presenting findings, conclusions, alternatives, and information clearly and conciselyEffective verbal and written communication skills Comments