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    Data Engineer - Seattle, United States - META PLATFORMS, INC. (f/k/a Facebook, Inc.)

    META PLATFORMS, INC. (f/k/a Facebook, Inc.)
    META PLATFORMS, INC. (f/k/a Facebook, Inc.) Seattle, United States

    2 weeks ago

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    Description

    Company:
    META PLATFORMS, INC. (f/k/a Facebook, Inc.)


    Job Title:
    Data Engineer


    Job Code:

    REQ

    Job Location:
    Seattle, Washington


    Job Type:
    Full-time, 9am 6pm, 40 hours a week, Monday Friday

    Salary:
    $201,681/year to $235,400/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits.

    Learn more about benefits at Meta at this link:


    Duties:


    Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.

    Analyze user needs and software requirements to determine workability and to offer support for end users on data usage. Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions. Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans. Design, develop, test, and launch new data models and processes into production, and provide support. Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.

    Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.

    Identify data infrastructure issues and drive to resolution.


    Requirements:


    Requires a Master's degree in Computer Science, Engineering, Information Systems, Information Technology, Management, Analytics, Statistics, Mathematics, Physics, Applied Sciences and 2 years of experience in the job offered or in a Data Science - related occupation.

    Requires 24 months of experience in the following: 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale; 2. Programming in Python, Perl, Java, or PHP; 3. Writing SQL statements; 4. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies; 5. Data warehousing architecture and plans; 6. Map Reduce or MPP system; and 7. Hadoop, HBase, or Hive.


    In the alternative, employer will accept a Bachelor's degree in Computer Science, Engineering, Information Systems, Information Technology, Management, Analytics, Statistics, Mathematics, Physics, Applied Sciences and 5 years of progressive, post-baccalaureate experience in the job offered or in a Data Science-related occupation.

    Requires 60 months of progressive, post-baccalaureate experience in the following: 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale; 2. Programming in Python, Perl, Java, or PHP; 3. Writing SQL statements; 4. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies; 5. Data warehousing architecture and plans; 6. Map Reduce or MPP system; and 7. Hadoop, HBase, or Hive.


    To apply, please send resume to the following email address & include the job order number visible to you above in the subject line of the email.

    It is important to include the job order number in the subject line of the email.

    Also include the Ref code number:

    REQ
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