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    Data Engineer - Arlington, United States - NasTech Global, Inc.

    NasTech Global, Inc.
    NasTech Global, Inc. Arlington, United States

    3 weeks ago

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    Description

    Title:
    Data Engineer


    Terms:
    Long Term Contract

    Citizenship:

    Active Secret Location:
    Arlington, VA (5 days onsite)

    Top Skills:
    ETL, Active Clearance, Databricks or Python or Spark, willing to work onsite Responsibilities:


    • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
    • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
    • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
    • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
    • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
    • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
    • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
    • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
    • Maintain documentation for software applications, workflows, and processes.
    • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement

    Requirements:

    • Secret clearance is required; TS/SCI clearance is preferred.
    • Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
    • High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
    • Strong problem-solving skills and ability to solve complex data-related issues.
    • Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
    • Understanding of data modeling/visualization, database design principles, and data governance practices.
    • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
    • Detail-oriented mindset with a commitment to delivering high-quality results.
    • Must be in the DC Metro area and available to work onsite (Crystal City, VA and Alexandria, VA) 3 days per week

    Nice to Have:

    • Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
    • Recent DoD or IC-related experience.
    • Previous experience with Advana is a plus. Thanks and Regards
    Murali Sharma
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