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Mead

    Azure Data Engineer - Mead, United States - GDC IT Solutions (GDC)

    GDC IT Solutions (GDC)
    GDC IT Solutions (GDC) Mead, United States

    3 weeks ago

    Default job background
    Description
    Overview

    GDC IT Solutions

    is currently seeking an

    Azure Data Engineer

    in the Maryland area.


    Position Overview:


    As a strong Azure Data Engineer (ETL Developer) candidate you must be able to support a dynamic federal government project.

    The ideal candidate will be responsible for the design, development, and implementation of the extract, transform, load (ETL) and reporting of the data warehouse dataset, as well as determining data accuracy and determine optimal structure for analysis and reporting purposes.

    Responsibilities

    Designing, developing, testing, and deploying data pipelines, data warehouses, and data lakes using Azure Data Factory, Azure Synapse, ADLS, T-SQL scripts and Python notebooks.

    Manage data quality and integrity, resolving issues, and creating technical documentation.
    Automate data platform operations and manage the post-production system and processes.
    Design efficient data models from a logical design based on business requirements and available use patterns.
    Ability to triage and self-direct, prioritize and manage time effectively

    Minimum Qualifications
    Must be a US Citizen
    Bachelor's Degree in Computer Science, IT, Computer Engineering, or related field
    Minimum of 4 years of experience in data engineering and data warehousing using Azure Data Factory, Azure Synapse, ADLS.
    Minimum of 2 years of specialized experience in Dimensional data modeling, T-SQL development, Python, and familiar with Spark
    Experience with methodologies agile development and DevOps tools, such as Azure DevOps, GitHub, or GitLab


    Preferred Experience:
    Exposure to metadata management including data catalogs using Microsoft Purview
    Exposure to Microsoft Fabric
    Experience with creating Power BI reports and dashboards
    Experience with data quality, data governance, and data security best practices

    #J-18808-Ljbffr

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