Site Reliability Engineer, Data Engineering

4 weeks ago

Los Angeles, California, United States Tik Tok Full time
About the Role:

This is a Site Reliability Engineer position, focusing on the 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.

Candidates for this position must be legally authorized to work in the United States.

This position is not eligible for visa sponsorship or support.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

Our platform connects people from across the globe and so does our workplace.

At TikTok, our mission is to inspire creativity and bring joy.

To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us.

This role requires the ability to work with and support systems designed to protect sensitive data and information.

As such, this role will be subject to strict national security-related screening.

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