JB058867 - Sr. Data Engineer |

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Company: USM Business Systems

Location: Lenexa, KS 66215

Description:

  • Start Date: Interview Types
  • Skills Azure,Databricks,Pow.. Visa Types Green Card, US Citiz..


  • This position is onsite 5 days a week. Must be in the local area to be considered.

    3 step interview process - 2nd & 3rd step require onsite interviews.

    This position is open to contract, contract to hire, and direct hire. Direct hire is preference. Will sponsor for the right person.

    ******Not open to relocation candidates at this time.****** Please don't apply if you are not in the local area *******

    Seeking a strong and experienced Senior Data Engineer as part of its Data Platform team to build scalable enterprise data solutions that drive strategic business outcomes.

    Skills: Azure, Databricks, Power BI, Python, SQL, ETL, Synapse, Fabric, Integration, SSRS

    Top Skills Details : Azure,Databricks,Power BI,Python,SQL,ETL

    Additional Skills & Qualifications

    • Experience with cloud data engineering and data warehouse technologies in Microsoft Azure, Google or AWS.
    • Experience in Azure is highly preferred.
    • Strong programming skills in python and SQL for data processing and automation.
    • Strong technical skills in big data and Data integration technologies including Spark, Kafka, Databricks, Azure Data Factory, SSIS and SQL.
    • Development experience in Microsoft SQL Server including experience with tuning queries to optimize performance.
    • Skilled in Visual Studio with the use of source control applications such as Azure DevOps.
    • Experience with CI/CD and Jenkins.


    Education and Experience Requirements:

    • Bachelor's Degree or higher in Computer Science, Engineering, or related field required.
    • 8+ years of experience in data engineering and data warehousing.
    • 5+ years of cloud data engineering and big data experience.
    • 5+ years of data engineering experience in SSIS and/or other data integration technologies.
    • 3+ years with building/using cloud data warehouse and data marts.

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