• Lead Engineer, Data Engineering

    Raymond James Financial, Inc. (St. Petersburg, FL)


    DUTIES:

    Builds scalable and reliable Data Integration solutions which are flexible, scalable and elastic.

     

    Develops low latency Data Integration solutions to provision data near real time for multiple consumers.

     

    Collaborates with Data Engineers, Data Architects and Service developers to build optimal and efficient ETL and Database code.

     

    Produces dynamic, data driven solutions to support the strategic business goals.

     

    Focus on designing, building, and launching efficient and reliable data infrastructure to scale and compute to meet business objectives.

     

    Focuses on workforce management to accurately capture IT resource capacity involving resources (internal and/or external), processes and practices.

     

    Design and develop new systems and tools to enable folks to consume and understand data faster

     

    Leads projects to successful completion as defined by predetermined project success criteria including those established by the business, capital expenditure and budget requirements.

     

    Provides on-call support of Data Integration Batch processes on a rotating basis and other on-call as required.

     

    Produces dynamic, data driven solutions to support the strategic business goals.

     

    Creates annual goals and objectives; holds individual team members accountable for attaining goals and objectives.

     

    Performs other duties and responsibilities as assigned.

     

    **REQUIREMENTS:** Bachelor’s degree in Computer Science, MIS, or related.

     

    Seven (7) years in any occupation with development, engineering, or related experience.

     

    Seven (7) years in any occupation with development, engineering, or related experience must include: Five (5) years of experience with ETL Tools, specifically with Oracle Data Integrator (ODI). Three (3) years of experience building low latency solutions with PySpark. Experience must also include: ODI performance tuning; Oracle as a Database Platform for Terabyte scale ETL processes; SQL tuning, physical optimization of databases; Experience using PySpark on AWS platform using Postgres databases such as Aurora; and Building data quality frameworks using Python.

     

    **SALARY** : $161,500 per year