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Data Engineer

Company: Bayforce
Location: Saint Louis
Posted on: January 17, 2020

Job Description:

Our direct global client needs a Data Engineer to join their Analytics Team. The primary duties of this Data Engineer will be to build and deploy data pipelines to support client's business analytics and reporting systems. This is an 18 Month project If you are interested in a perm position, please let me know. But we can also do straight contract MUST be local or able to stay in STL - Monday - Friday Work Week All Inclusive rate The ideal candidate would also have experience working with business intelligence applications and be familiar with business intelligence architectures and industry best practices. PRIMARY RESPONSIBILITIES: Design, create and maintain data pipelines that will source data from a variety of sources and formats, transform the data for use in reporting and analytics systems and then store this data in both structured and unstructured repositories. Primary tools for this function are Azure Data Factory, Azure Databricks, and SQL Server Integration Services. The ideal candidate would have experience using data engineering tools to move and prepare data and have experience using SAP data tools such as HANA, SAP-BW and Business Objects. TECHNICAL AND SPECIFIC SKILLS: The following is a list of specific skill and technologies that are required or highly desired for this position: - SAP Experience Proficient with Microsoft Azure toolsets including Azure Data Factory Pipelines, Azure Databricks, Azure Data Lake Storage. Experience using query languages such as SQL, MDX or DAX Experience using code languages such as Python or C# Experience using scripting languages such as PowerShell, M-Query (Power Query), or Windows batch commands. For SAP R3/ECC, proficient with design, build, and optimization of SAP HANA views (including SQL query optimization) and a solid understanding of the design and relationships in SAP ECC(R3) structures and tables. Proficient with building and optimizing connectivity to SAP HANA views from Azure toolsets Solid understanding of SAP Business Warehouse query design, constructs, and optimization (including MDX queries) Additionally, the following knowledge would be beneficial in this role Experience creating data visualizations using Power BI or similar tools. Understanding of Agile and DevOps principles for software development and ownership. Understanding of business intelligence theory, technologies and design patterns. Familiar with compliance and controls for software development and deployment. BASIC QUALIFICATIONS (Minimum): The following outlines the general education and experience levels expected for ideal candidates: At least 5 years or more of work experience in data management disciplines including data integration, modeling and/or other areas directly relevant to business intelligence/business analytics development. A bachelor's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field is not required but is preferred. Equivalent work experience will be considered. - provided by Dice

Keywords: Bayforce, St. Louis , Data Engineer, Engineering , Saint Louis, Missouri

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