Site Reliability Engineer, Data Engineering

3 weeks ago


Seattle, Washington, United States Tik Tok Full time
About the Role

This is a Site Reliability Engineer position, focusing on data pipeline reliability for the Video Platform team in USDS.

Data SREs monitor data and keep production batch and real-time processing jobs up and running with the highest level of availability, ensuring our users have the freshest, complete, and correct data possible.

Responsibilities
  • Manage day-to-day operations of data service, real-time/batch data pipelines, such as Service Level Agreement management, pipeline deployment, performance tuning, and troubleshooting
  • Proactively monitor and troubleshoot data pipelines and systems for performance issues, errors, or anomalies
  • Create tools, build alarms, and dashboards, drive internal process improvements, and automation to monitor and improve data engineering operations
  • Improve systems reliability, efficiency, and velocity through scaling, optimization of both resources and data processing workflows, potentially refactoring code or implementing new solutions
  • Develop and deploy new reliable and scalable data pipelines and infrastructure components as required by business needs
  • Work closely with data engineering and various vertical teams within the Video Architecture platform
Qualifications
  • Minimum Qualifications
    • Bachelor's in Computer Science or a related technical background involving software/system engineering, or equivalent working experience
    • Good programming experience with SQL and at least one of the following languages: Java, Python, Go, or Scala
    • Experience in data engineering, with a focus on data systems reliability, scalability, and performance
  • Preferred Qualifications
    • Solid experience with big data technologies (e.g., Hadoop, Spark, Flink, YARN) and databases (SQL, NoSQL)
    • Knowledge of data pipeline and workflow management tools (e.g., Airflow, Luigi)
    • Demonstrated independent thinking capabilities and troubleshooting skills in large-scale distributed systems
    • Good communication and coordination skills
    • Experience in building data solutions with AWS, Azure, and other cloud services is a plus


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