Sr. Data Engineer
San Jose
hace 1 día

About Us

At Cloudflare, we have our eyes set on an ambitious goal : to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request.

As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that.

We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

About the team

The BI team build and operates the cloud data analytics platform for Cloudflare. We are responsible for building a centralized cloud data analytics platform using open source technologies that will be used by our internal Business Partners and Machine Learning teams.

Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics self-service tools to fuel existing and new business critical initiatives.

About the role

As part of this initiative, we are looking for a Data Engineer and help us build a scalable petabyte scale data lake and Cloud Enterprise Data Warehouse (EDW) using modern tech stack from the ground up using open source technologies.

Success in this role comes from marrying a strong data engineering background with product and business acumen to deliver scalable data pipelines and analytics solutions that can enable advanced analytics via a self-service user interface.

What you will do

  • Partner closely with internal stakeholders to gain a strong understanding of business and product data needs
  • Actively participate in design discussions and code reviews
  • Mentor multiple entry level and mid-level data engineers
  • Design, build and support scalable and reliable data solutions that can enable self-service reporting and advanced analytics using open source technologies
  • Develop technical tools and programming that leverage machine learning and big-data techniques to cleanse, organize and transform data and to maintain and update data structures and integrity on an automated basis
  • Design application components and evolve architecture : API / Services, data access, integration, application components, etc.
  • Analyze and support platform requirements for Data Science team
  • Implement automation tools and frameworks (CI / CD pipelines)
  • Build tools to automate the monitoring or workload and take proactive measure to scale the platform or to fix the problem
  • Examples of desired skills, knowledge, and experience

  • Proven ability to work closely with multiple business and product teams to ensure data solutions are aligned with business initiatives and are of high quality
  • More than 5 years of development experience in Big Data space working with Petabytes of data and building large scale data solutions using Google Cloud Platform, Apache Spark, Airflow, Kafka, Scala, Python, etc.
  • Must have experience implementing data platforms in a hybrid cloud environment
  • Experience with multiple POCs for different tools and platforms such as data lake solutions, data validation frameworks, etc
  • Experience with API design and development of RESTful web services or GraphQL
  • Knowledge of and experience with backend frameworks like NodeJS or Golang
  • Experience with environment and deployment automation, IaaS, deployment pipeline specification and development.
  • Working experience in Kubernetes, Docker etc.
  • Implemented real time streaming data pipelines
  • Experience with leading a team of data engineers is a plus
  • Bachelor’s or Master’s Degree in Computer Science or Engineering or related experience required
  • JOB ID #BI RA 150

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