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    Data Engineer/Analyst - Lexington, United States - John Galt Staffing

    John Galt Staffing
    John Galt Staffing Lexington, United States

    4 weeks ago

    Default job background
    Government / Military
    Description

    Data Engineer/Analyst - 100% Remote

    You will work on designing, building, and implementing a data foundation to support a strategic analytics project that drives strategic growth for the client This involves liaising with functional teams that build or acquire the underlying data, application owners to understand raw or source data structures, and end users to accurately design strategic data marts. Finally, designing and building data pipelines, ETL/ELT integrations, constructing and modifying data marts, preparing (cleaning, transforming) data, and collaborating with extended team members to design impactful business solutions.

    Key responsibilities include but not limited to:


    • Standardize data and reporting across businesses and teams to enable consistency and quality of key business data


    • Design, develop, test and document data integrations and assist with deployment, validation and hyper care


    • Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirements


    • Develop and maintain SQL, PL/SQL, Python as needed


    • Assist with review to confirm technical feasibility of integration development objects based on integration principles and best practices


    • Understand and navigate a wide array of source data systems (S4/HANA, BW, enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, Vector database etc.)


    • Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making


    • Propose new methodologies to demonstrate data to improve existing methodologies


    • Developing prototypes and proof of concepts for required solutions


    • Implementing information security standards in enterprise data warehouse


    • Document solutions through high/low level design documentation

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