Data Engineer

Senior Data EngineerChipotle12+ month contract (potential for extension)Key Responsibilities:Design, develop and maintain scalable data pipelinesDevelop data ingestion and integrations (REST, SOAP, SFTP, MQ, etc.) processesTake ownership of building data pipelinesActively engage in technology discovery and implementation for both on-prem and in Cloud (i.e. Azure or AWS) to build solution for future systemsDevelop high performance scripts in SQL/Python/etc. to achieve objectives of enterprise data, BI and analytics need.Incorporate standards and best practices into engineering solutionsManage code versions in source control and coordinate changes across teamParticipate in architecture design and discussionsProvide logical and physical data design, and database modelingBe part of the Agile team to collaborate and to help shape requirementsSolve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidentsSupports the development and design of the internal data integration frameworkWorks with system owners to resolve source data issues and refine transformation rulesPartner with enterprise teams, data scientist, architects to define requirements and solutionKey Qualifications :Have a B.A./B.S. and 5-8 years of relevant work experience; or an equivalent in education and experienceMust have excellent experience with SnowflakeHands on experience with Microsoft Stack – SSIS, SQL, etc.Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendationsExperience with the Agile development process preferredProven track-record of excellence and consistently delivered past project successfullyHands on experience with Azure data factory V2, Azure Databricks, SQLDW or Snowflake, Azure analysis services and Cosmos DBExperience with Python or Scala.Understanding of continuous integration and continuous deployment on AzureExperience with large scale data lake or warehouse implementation on any of the public cloud (AWS, Azure, GCP)Have excellent interpersonal and written/verbal communication skillsManage financial information in a confidential and professional mannerBe highly motivated and flexibleEffectively handle multiple projects simultaneously and pay close attention to detailHave experience in a multi-dimensional data environmentRequired Skills : Working Onsite 4 days per week in Columbus, Ohio 43215.