As a Senior Data Engineer for the Wikimedia Foundation's Data Platform, you will shape the future of how Wikimedia’s vast data ecosystem serves both internal teams and the global community.

In Short

5+ years of data engineering experience, focusing on on-premise systems.
Expertise in tools like Airflow, Kafka, Spark, and Hive.
Advanced proficiency in Python and Java/Scala.
Experience with SQL and various database/query dialects.
Designing and building data pipelines.
Monitoring and alerting for data quality.
Supporting data governance and lineage.
Contributing to data platform development.
Enhancing operational excellence.
Working in a geographically distributed team.

Requirements

5+ years of data engineering experience.
Experience with on-premise systems (e.g., Hadoop, HDFS).
Knowledge of engineering best practices.
Hands-on experience in troubleshooting systems.
Experience in data governance and quality initiatives is desirable.
Familiarity with stream processing frameworks.
Strong communication and collaboration skills.
Ability to produce clear technical designs.

Benefits

Competitive and equitable salary.
Remote-first work environment.
Impacting billions of users.
Working on open knowledge projects.
Inclusive and diverse workplace.

Wikimedia Foundation

The Wikimedia Foundation is a nonprofit organization that operates Wikipedia and other Wikimedia free knowledge projects, with a vision of a world where everyone can freely share in the sum of all knowledge. The Foundation believes in the potential of individuals to contribute to shared knowledge and advocates for policies that support free access to information. It relies on donations from millions of individuals globally and is committed to maintaining an inclusive and equitable workplace. With a remote-first approach, the Wikimedia Foundation employs staff across over 40 countries, fostering a diverse workforce dedicated to its mission.

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