Data Support Engineer

YouTube/Video Global Solutions is the link between Google video products and sales, fueling innovation that keeps YouTube and Video free and accessible to the world.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Enterprise SaaS

Description For Data Support Engineer

YouTube is seeking a Data Support Engineer to join their Business Technology team, focusing on developing and maintaining solutions that streamline data access, enhance data hygiene, and improve telemetry for YouTube's support teams. This role is crucial in building tools and creating technical solutions that directly impact the efficiency of support organizations. The ideal candidate will have strong experience in data engineering, customer support, and technical troubleshooting. They will work on developing data integration solutions, creating proof-of-concept prototypes, and generating technical design documents. The position requires expertise in programming languages, big data technologies, and cloud platforms, with a focus on improving support workflows and user experience. This is an excellent opportunity to work with one of the world's largest video platforms and contribute to keeping YouTube accessible to users worldwide. The role offers the chance to work on meaningful technical challenges while directly impacting user support effectiveness.

Last updated 14 days ago

Responsibilities For Data Support Engineer

  • Collaborate with data engineering teams to design, develop, and deploy data integration
  • Translate support requirements into technical specifications for data-driven tools and dashboards
  • Identify opportunities to leverage data to improve support workflows
  • Provide technical guidance support to other engineers on data integration
  • Analyze, review, and modify programs to increase operating efficiency

Requirements For Data Support Engineer

Python
Java
Go
Kubernetes
  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
  • 4 years of experience reading code in a general purpose coding language
  • 4 years of experience troubleshooting and advocating for customers' needs
  • 4 years of experience with 2 or more of: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP
  • Experience with big data technologies (Hadoop, Spark)
  • Experience with unit testing, agile project development, and bug management systems
  • Experience with cloud-based data platforms and workflow orchestration tools
  • Experience with data governance and data quality best practices

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