Data Engineer 181872

CTI Consulting

  • Covington, Kentucky
  • 4 days ago

    Highlights

    A passion to design and implement single and multi-tenant data solutions using various database design and data modelling techniques. Hands-on experience with ETL/ELT tools and processes, particularly Informatica, or similar platforms, is a plus.

    Numbers & Facts

    LocationCovington, Kentucky

    Description


    The Expertise and Skills You Bring:

    • 5+ years in Technology with 3 years in developing and deploying data solutions
    • Excellent written and verbal communication skills including experience writing documentation
    • Excellent collaboration skills to work with multiple teams in the organization
    • Ability to deal with ambiguity and work in fast paced environment
    • Systems analysis background with an emphasis on legacy process decomposition and debugging/tuning/refactoring
    • Strong understanding of data analysis concepts and associated tools such as SQL, Python, Stored Procedure, etc.
    • Experience building, maintaining, and tuning stored procedures, complex SQL queries.
    • QA / Testing – must be highly proficient in QA and testing methodologies/concepts with a demonstratable level of expertise
    • Comfortable working within an Agile framework
    • Extensive experience with SQL required; knowledge of MySQL, Snowflake preferred
    • Hands-on experience with ETL/ELT tools and processes, particularly Informatica, or similar platforms, is a plus.
    • Experience with Python for building ELT pipelines or other scripting languages.
    • A passion to design and implement single and multi-tenant data solutions using various database design and data modelling techniques.
    • Experience with CICD toolset such as Jenkins, Jenkinscore, Udeploy, Git, GitHub.

    Any combination of the following is a plus:

    • Hands-on experience with either Azure or AWS cloud concepts and fundamentals
    • Experience building scalable and robust data solutions for websites using a range of technologies
    • Business Intelligence development experience with tools such as Tableau, PowerBI, etc.
    • Development using DevAssist tools


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