<p>The Data Engineer will support our Data Analytics team in building our analytics products. This role will be responsible for adding features to our production data pipeline and performing ad-hoc analysis of raw and processed data. The ideal candidate will have experience building and optimizing data pipelines and enjoys learning and working with cutting edge technologies.</p><p><br></p>

<p>Responsibilities and Duties:</p><p> </p><p> • ETL design and implementation in the context of complex datasets.</p><p> • Collaborate with stakeholders to understand requirements and conceptualize data architecture needs.</p><p> • Design, implement, test, deploy, and maintain data pipeline to collect and standardize data from multiple sources to generate insights and encompass reporting needs.</p><p> • Develop data profiling and quality methodologies.</p><p> • Assist cross-functional teams in identification of opportunities to improve efficiency, such as automation of manual processes.</p><p> • Serve as subject matter expert on all data-related issues, troubleshoot them independently, and use expertise to support team members.</p><p> • Perform ad-hoc data manipulation and analysis.</p><p> • Other duties as assigned.</p><p> </p><p> Requirements:</p><p> </p><p> • Spark: 2+ years of experience</p><p> • Python: 2+ years of experience</p><p> • SQL: 2+ years of experience</p><p> • Azure or AWS: 1+ year of experience</p><p> • Application development in C#, Java, or similar Object Oriented Language</p><p> • Azure DevOps Build Pipelines</p><p> • Containerized application deployment with Docker and Kubernetes</p><p> • Report development with Tableau or PowerBI</p>

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