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    Azure Data Engineer - Falls Church, United States - General Dynamics Information Technology

    General Dynamics Information Technology
    General Dynamics Information Technology Falls Church, United States

    3 weeks ago

    General Dynamics Information Technology background
    Description
    General Dynamics Information Technology - Federal Health Strategy & Analytics practice is currently looking for an experienced

    Azure

    Data Engineer


    to join our team in support various clients under the Department of Health and Human Services including Centers for Disease Control and Prevention (CDC).

    This is a technical role, focused on defining and implementing solutions using Azure Cloud Architecture. The

    Azure

    Data Engineer

    is responsible for building, implementing, and supporting Microsoft BI solutions to meet project business requirements.


    Responsibilities:
    Designing & building data architectures including the design & set-up of scalable Modern Data Platforms incl. infrastructure-as-code, proper CICD, solid DevOps and the best-fit technologies for the use case.
    Working together with the BI developers deploying data pipelines & data transformations which turn the raw data into relevant datasets and insights (using Databricks, Azure Data Factory)
    Working with Data Scientist deploying machine learning into scalable services in a perfect fit with the data architecture (MLFlow)
    Assisting the project team in deploying data applications including, if needed, close-to real-time architectures such as streaming pipelines (Spark Structured Streaming or Azure Functions)

    You will work (standalone or in team) with clients and have a responsibility on managing project timeline, status meetings and coaching & training of colleagues and customers.

    Architect, develop and deploy (both hybrid cloud & full cloud) data architectures in Microsoft Azure

    Act as a Data Engineer Expert on the latest trends in the data analytics landscape and share best practices with the internal team.

    Leverage Open-Source technology in building scalable and best-practice set-ups (incl. Spark & Python)
    Inspire customers with insights & opportunities on new data-driven use cases.
    Work with external vendors and partner technologies including (but not limited to) Azure.
    Embrace project management aimed towards getting the job done. This will include working with client data engineers and data scientists but also business stakeholders.
    Development of reports and database procedures to help resolve data quality issues.
    Effectively communicate SQL Server SSIS architecture and approaches.

    Exhibit competency in problem solving, data analysis, business rule validation, data integration, data quality, dependency analysis and estimation and delivery of complex Azure data solutions.

    Working closely with client stakeholders, architects, analysts, and SMEs to validate and/or elicit information requirements for database design and architecture.

    Analysis of source data to assist in preparing iterative design changes, database refactoring, and creating or modifying reference data.

    Experienced in database design with the ability to progress from concept to implementation, creating and maintain entity relationship diagrams, data dictionaries, and ability to create implementation scripts.

    Evaluating of existing databases for performance bottlenecks to recommend solutions for improvement.


    Required Skills:


    Bachelor's degree plus 5 years' experience or master's degree plus 3 years' experience; preferred degree in Computer Science or related area.

    Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.

    Expertise in Azure cloud services, and DevOps/CI/CD frameworks.
    3+ years of Azure Databricks and Azure Data-factory.
    3+ years of current experience with development and implementation of Microsoft SQL Server Integration Services (SSIS)

    Experience in the development of modular SSIS solutions which include the implementation of robust error handling, logging, archival, and other foundational capabilities.

    Design and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services
    Experience in designing and hands-on development in cloud-based analytics solutions.


    Desired Skills:
    Experience with Azure Data Lake is preferred.
    Experience in the public health domain and HL7 is a plus.
    Knowledge and understanding of implementing Webservices a plus.
    Experience working in an Agile development team.
    Must be able to work as part of a team, as well as independently.
    Must grasp new concepts easily and be willing to continually learn.
    Must be flexible and willing to help other team members in support of project goals.

    Work Requirements


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    Years of Experience
    5 + years of related experience

    * may vary based on technical training, certification(s),

    or

    degree


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    Certification

    Travel Required
    None

    Salary and Benefit Information
    The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary.

    Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

    View information about benefits and our total rewards program.
    About Our Work

    We are GDIT.

    A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S.

    government, defense and intelligence community.

    Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation.

    We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development.

    Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

    GDIT is an Equal Opportunity/Affirmative Action employer.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

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