Build, test, and deploy highly scalable and reliable data pipelines. Create and deploy both math and machine learning models to support current and future applications. Design, develop, and maintain Oracle, MemSQL, .NET and Python code necessary to execute on end user (internal customer) and product goals. Create, validate, and operationalize both predictive and math models to drive intelligent decision-making and enhance product functionality.
Job Requirements
MINIMUM EDUCATION: Bachelor's degree in Computer Science or Engineering or Information Technology.
MINIMUM EXPERIENCE: Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer.
SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud-based architectures and containerization of streaming technologies.
Position will be filled at level commensurate with experience
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