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    Data Engineer - Birmingham, United States - LanceSoft

    LanceSoft
    LanceSoft Birmingham, United States

    2 weeks ago

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    Description

    Data Engineer
    2 days a week onsite
    Location - Birmingham, AL

    Primary Responsibilities
    Partners with **Technology partners to Design, Build, and Maintain the data-based structures and systems in support of Data and Analytics and Data Product use cases
    Builds data pipelines to collect and arrange data and manage data storage in **' big data environment
    Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark.
    Coordinates design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other Technical partners to construct strategic and tactical data stores
    Ensures data is prepared, arranged and ready for each defined business use case
    Designs and deploys frameworks and micro services to serve data assets to data consumers
    Collaborates and aligns with technical and non-technical stakeholders to translate customer needs into Data Design requirements, and work to deliver world-class visualizations, data stories while ensuring data quality and integrity
    Provides consultation to all areas of the organization that plan to use data to make decisions
    Supports any team members in the development of such information delivery and aid in the automation of data products
    Acts as trusted adviser and partner to business leads- assisting in the identification of business needs & data opportunities, understanding key drivers of performance, interpreting business case data drivers, turning data into business value, and participating in the guidance of the overall data and analytics strategy


    Requirements
    Bachelor's degree in Business or a technical related field
    Three (3) years of data-oriented experience including experience managing data and analytics resources


    Preferences
    Prior banking or financial Services experience
    Experience developing solutions for the financial services industry
    Background in Big Data Engineering and Advanced Data Analytics


    Skills and Competencies
    Experience with python and SQL
    Experience with Snowflake, AWS, or other cloud technologies
    Experience building data solutions at scale
    Experience designing and building relational data structures in multiple environments
    Proven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data Assets
    Significant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision making
    Strong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks
    Strong background in synthesizing data and analytics in a large (fortune 500), complex, and highly regulated environment
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