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Data Engineer - Remote

Georgia Tek Systems

  • IL, IL
  • 30+ days ago
  • Remote

    Highlights

    Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

    Numbers & Facts

    LocationIL, IL (
    Remote
    )

    Description

    Job Title - Data Engineer
    Location - Chicago, IL Remote

    Duration - 12+ months
    Rate - DOE
    U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.
    JOB DESCRIPTIO N
    • 5+ years of experience in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
    • Very good knowledge in
      • SQL (7+ out of 10)PySpark
      • Databricks on Azure (7+ out of 10)
      • (7+ out of 10)
      • SparkSQL (7+ out of 10)
      • Azure/ADLS (7+ out of 10)
    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
    • Great numerical and analytical skills
    • Data engineering certifications/Azure is a plus
    • Create and maintain optimal data pipeline architecture
    • Analyze and organize raw data
    • Write pseudo code
    • Combine raw information from different sources
    • Explore ways to enhance data quality and reliability
    • Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
    • Experience supporting and working with cross-functional teams in a dynamic environment.
    • Build processes supporting data transformation, data structures, metadata, dependency, and workload management


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