FT Contract Opportunity - Redmond, United States - Lucid Consulting Group

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    Job Description

    Job Description

    Job Title: Applications Dev & Test - Data Scientist

    Location: Redmond, WA (50% Onsite)

    Schedule: Mondays - Fridays (40 hrs per week)

    Duration/Start Date: May 15, 2024 up to 18 months

    ***MUST HAVE PREVIOUS EXPERIENCE WORKING AT MICROSOFT***

    Top 3 Hard Skills Required + Years of Experience

    1. Minimum 3-5 years' experience with | Python.
    2. Minimum 2+ years' experience with SQL.
    3. Minimum 3-5 years' experience with Data modeling.

    • Minimum 5 years' experience with big data pipelines.
    • Minimum 3-5 years' experience with Cloud experience.

    Summary:

    As an Analytics Engineer you will be responsible to design, build, and maintain the Minecraft Analytics Environment. You will focus on delivering solutions rather than technology to realize the value of our data assets. You will support initiatives to democratize data and unlock self-serve capabilities which empower new data consumers to efficiently leverage the data. To be successful, you must select, model, and prepare the best data for the solution; Utilize the data platform and cloud infrastructure to engineer the tools and technologies needed to source, process, and deliver the data; Collaborate with your Data Science colleagues and work directly with data consumers and stakeholders to understand their needs and evolve the Analytics Environment at the pace of the business to drive impactful outcomes.

    Candidate Requirements

    The ideal candidate must have 3-5 overall years of experience in the field.

    • Solid Data engineer skills and experience but also comfortable working with the business, data profiling and analysis, experience with video games important, working with large volumes of streaming data.
    • Data modeling skills and experience. Self-starter. Creative problem solver.
    • Software engineering or equivalent degree is required to be eligible for this role.

    Qualifications:5+ years working as a data engineer or equivalent on large enterprise systems.

    • Critical thinker and problem solver who brings a creative and open mindset to each situation.

    • A proven track record building and optimizing big data pipelines for analytic solutions.

    • Data analysis skills to identify, select and prepare quality data for analytics use cases.

    • Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred.

    • API and application development experience for data access and analytics solutions.

    • Strong Python skills for data processing combined with a pythonic mindset. Proficient SQL.

    • Working knowledge handling logs or event streaming data sources.

    • Working knowledge of DevOps and DataOps including feature planning, version control, multi-environment, CI/CD, data-modeling, automation, governance, and continuous improvement.

    • Video game domain knowledge is important – as an experienced Player or industry veteran

    ***MUST HAVE PREVIOUS EXPERIENCE WORKING AT MICROSOFT***

    Company DescriptionLucid Consulting was established to offer a curated community of on-demand experts with a broad set of professional skills and experience. We are a people-focused, customer-driven consulting firm that help organizations drive growth, adapt to change, and create value. Our deep technical, financial and marketing capabilities help to deliver transformative solutions and consulting capabilities for a broad list of clients.

    Company Description

    Lucid Consulting was established to offer a curated community of on-demand experts with a broad set of professional skills and experience. We are a people-focused, customer-driven consulting firm that help organizations drive growth, adapt to change, and create value. Our deep technical, financial and marketing capabilities help to deliver transformative solutions and consulting capabilities for a broad list of clients.