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    Data Engineer - Fort Worth, United States - Motion Recruitment

    Motion Recruitment background
    Accounting / Finance
    Description

    3-4+ years of Data Engineering experience.

    Strong Azure and Databricks

    Strong SQL Skills.

    Resume Keywords: Azure, Spark, Delta Lake, CI/CD, ABS, Databricks, PySpark

    Required Skills & Experience


    • Experience with Databricks platform on Microsoft Azure


    • Advanced SQL Skills


    • 4-6 years of hands-on data engineering experience


    • 3-5 years of hands-on experience with processing large data sets required


    • 3-5 years of hands-on experience with SQL, data modeling, relational databases and/or no SQL databases required


    • Bachelor's Degree in related field or equivalent work experience required


    • Experience with processing large datasets using Hadoop, Spark, Kafka or similar distributed systems


    • Experience with PySpark and distributed data processing frameworks


    • Understanding of cloud computing technologies, business drivers and emerging computing trends


    • Experience with ingesting various source data formats such as JASON, Parquet, Sequencefile, Cloud databases, MQ, Relational databases such as Oracle


    • Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, ADLS etc.


    • Working knowledge of unity catalog and data governance principles


    • Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management


    • Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps)


    • Experience with Python and SQL


    • Creating and maintaining ETL processes and data pipelines


    • Knowledgeable of best practices in information technology governance and privacy compliance


    • Knowledge on auto finance industries core business functions


    • Ability to establish priorities and meet tight deadlines.


    • Ability to interact collaboratively with internal customers


    • Demonstrated quantitative skills and data analytical skills


    • Solid design, coding, testing and debugging skills


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