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  • Posted: Oct 19, 2022
    Deadline: Not specified
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    The Wikimedia Foundation is the nonprofit that hosts Wikipedia and our other free knowledge projects. We want to make it easier for everyone to share what they know. To do this, we keep Wikipedia and Wikimedia sites fast, reliable, and available to all. We protect the values and policies that allow free knowledge to thrive. We build new features and tools...
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    Data Engineer

    Summary

    The Wikimedia Foundation is looking for a Data Engineer to join our team, reporting to the Director of Data Engineering. As a Data Engineer, you will be responsible for building, maintaining and expanding the shared data infrastructure that powers a big part of decision making in the Foundation as well as the Wiki Movement. This includes everything from building scalable pipelines using big data technology to defining and creating a suite of datasets which adhere to our privacy principles.

    You are responsible for:

    • Integrating data from multiple sources to gain insights in areas such as content, traffic, editors, readership and fundraising
    • Building scalable data pipelines in collaboration with other data engineers as well as teams across the foundation including product analytics, platform engineering, survey, research and machine learning teams
    • Designing the shared data platform that supports use cases for critical aspects of the Wikimedia mission: harassment prevention, image classification, bot detection, DDoS attacks flagging and many more
    • Building and maintaining public metrics and datasets
    • Implementing data quality monitoring that alerts the team of possible data issues
    • Implementing a data governance and lineage solution for all Wikimedia data

    Skills and Experience:

    • 2+ years of relevant industry experience
    • Advanced working knowledge of SQL, relational databases, query authoring, ideally in a variety of flavors (in our team alone we deal with MariaDB, HiveQL, CassandraQL, Spark SQL and Presto)
    • Experience with one or more programming languages such as Python, Scala, and Java
    • Experience building data pipelines using tools such as Airflow, Spark, Gobblin, Oozie, Yarn
    • Familiarity with stream processing systems using Kafka, Spark streaming and/or Flink
    • Excellent written and verbal communication skills
    • Strong interpersonal and collaboration skills
    • BS or MS degree, preferably in Computer Science, or equivalent work experience

    Qualities that are important to us:

    • Commitment to the mission of the organization and our values
    • Commitment to our guiding principles
    • Commitment to diversity, equity, and inclusion
    • Cross-cultural sensitivity and awareness
    • Collaborative working experience

    Additionally, we'd love it if you have:

    • Experience with Hadoop
    • Understanding of related disciplines including Machine Learning, Statistics, Privacy and Algorithms
    • Experience working with site reliability engineers

    Method of Application

    Interested and qualified? Go to Wikimedia Foundation on boards.greenhouse.io to apply

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