The Sr. Data Engineer is responsible for designing, implementing and supporting full life-cycle data engineering projects for current and future economic planning applications. These project should include large data ingestion, persistence, transformation, and retrieval. Day-to-day responsibilities include designing, developing and maintaining the Oracle, MemSQL and Python code that supports iTypeCurve and iInvest applications. Will be responsible for the dataflow pipeline between Planning database and other data stores such as Primo, ODM and Accounting data.
Job Requirements
Bachelor's degree in Computer Science, Engineering or other equivalent degree, with 4+ years data engineering experience, or Master's degree in Computer Science, Engineering or other equivalent degree with 2+ years data engineering experience. Requires 2+ years' experience in the design, implementation and support of full life-cycle data engineering projects. Experience in event driven and cloud based architectures and working knowledge of containerization and streaming technologies. Proficiency using Python, .NET, Node, Java or similar language. Experience with SQL and other data query languages required.
Position will be filled at a level commensurate with experience.
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