About the role:

We are looking for Data Engineers to come join Cloudflare and help us build a scalable petabyte scale data lake
and EDW using modern tech stack. Success in this role comes from marrying a strong data engineering
background with product and business acumen to deliver scalable data pipelines. You’ll develop solutions to
support the cross-functional needs for integrating data from a central data warehouse to operational systems
including but not limited to SaaS tools used for growth, marketing, sales and support. We need strategic thinkers
and problem solvers who can help us reach our North Star goals.
 

Your Responsibilities:

• Develop technical tools and programming that leverage big-data techniques to cleanse, organize and transform
  data and to maintain and update data structures and integrity on an automated basis
• Ability to design application components and evolve architecture including API/Services, Data Access,
  Integration, Application components
• Capable of working closely with business and product teams to influence technical strategy conversations and
  ensure data solutions are aligned with business initiatives and are of high quality.
• Build tools to automate the monitoring or workload and take proactive measure to scale the platform or to fix the
  problem
• Build integration pipelines based on principles of reusability, security, scalability and quality
• Embrace new technologies and work with various tools and technologies to achieve desired functionality.

Basic Qualifications:

• Bachelor’s or Master’s Degree in Computer Science or Engineering or related experience required.
• 5+ years of developing ETL solutions in Big data space working with Petabytes of data and building large scale
  data solutions using Google Cloud Platform, Apache Spark - Scala, Airflow, Python, SQL
• 3+ years of experience with API design and development of RESTful web services
• Experience with integrating Salesforce, Snowflake, NetSuite, and other SaaS applications
• Experience with automation tools and frameworks(CI/CD pipelines)
• Strong understanding of development best practices, continuous integration, source control, code reviews

Preferred Qualifications:

• Working experience in Kubernetes, Docker, is a plus
• Always on the lookout for improving the product using data-driven decisions.