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    Data Technical Engineer - New York, United States - Tandym Group

    Tandym Group
    Tandym Group New York, United States

    2 weeks ago

    Tandym Group background
    Description

    A health services organization in New York City has a great Remote opportunity awaiting a Data Technical Engineer. In this role, the Data Technical Engineer will be responsible for designing, validating, and implementing data management capabilities, such as data virtualization, unstructured data management, de-identification, and data integration that enables the creation of scalable applications.

    Responsibilities

    The Data Technical Engineer will:

    • Translate solution designs and capability requirements into technical requirements supporting technologies that can deliver long term solutions
    • Ability to evaluate multiple overlapping vendor products and provide detailed assessment with scoring
    • Participate in technical discussions with vendor and document technical and functional features that aligns with requirements. Highlight product limitations and constraints
    • Understand MODE principles and align with strategy and architecture guidelines. Incorporate best practices and standards
    • Understand use cases and develop solutions for managing, storing, and delivering data for insights and Data science workloads
    • Leading and delivering highly scalable and flexible, cost-effective enterprise data solutions
    • Coordinate with other engineering and operations teams and own the conversation to define use cases, goals, objectives, and architecture to support the business needs
    Qualifications:
    • Bachelor's and/or Advanced Degree in Computer Science or related field.
    • Strong hands-on skills with Data Management and Data Engineering
    • 5+ years of experience in Healthcare Data and SQL database(s) including experience with developing SQL queries and stored procedures.
    • 3+ years of experience with Lake House, Big Data, Epic Caboodle/Clarity and non-SQL databases.
    • 3+ years of experience working in modern data lake house architecture using technologies such as Databricks, Snowflake, Dremio, Spark, AWS Redshift, etc. - must have
    • Experience in a data technical lead role including modeling, designing, and building complex data solutions using SQL and non- SQL databases.
    • Strong understanding of and experience with data engineering concepts, devops, and data security.
    • Strong experience with cloud technologies (Azure, AWS) and cloud data engineering tools and services.
    • Dedicated and hardworking lead who achieves maximum efficiency and productivity working with the rest of the team.
    • Ability to work collaboratively in a distributed team environment.
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