Data Test Engineer

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

• Implement best practices and service metrics

• Recommend quality improvement initiatives for the future

• 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

• Test APIs, data workflows, and data analytics solutions

• 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

• Bachelor's Degree in Computer Science or the equivalent combination of training, education and experience.

• Experience in test automation for data products in Cloud such as Data Lake, Data Warehouse, Data Hub, Master Data Management, and others.

• Experience working in data product test teams through the life cycle from analyzing functional requirements through delivery to production.

• Expert knowledge of continuous integration and deployment and tools chain (e.g., Git, Jenkins, Azure DevOps, etc.)

• 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, e.g., Azure Databricks, Azure Data Factory.

• 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, e.g., Azure Test Plans, Quality Center.

• Experience with test automation frameworks and tools, e.g., Selenium, Postman.

• Experience with application performance monitoring and observability tools, e.g., LoadRunner.

• Experience in testing complex systems including various data analytics platforms in Cloud (Azure, AWS, etc.)

• Experience in working with Big Data technologies, e.g., Hadoop, Spark, etc.

• 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.