The Data Engineer will build scalable data pipelines, support analytics initiatives, and collaborate with teams to enhance data quality and insights.
Available Locations: Lisbon
About the team
The Business Intelligence team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare's critical business needs, provide reporting and analytics via self-service tools to fuel existing and new business critical initiatives.
About the role
We are looking for an experienced Data Engineer to join our team to scale our data platform and product insights initiatives. You will work with a wide array of data sources to build integrated data pipelines that process billions of records each day and influence our critical business initiatives.
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'll do
Examples of desirable skills, knowledge and experience
Bonus Points
About the team
The Business Intelligence team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare's critical business needs, provide reporting and analytics via self-service tools to fuel existing and new business critical initiatives.
About the role
We are looking for an experienced Data Engineer to join our team to scale our data platform and product insights initiatives. You will work with a wide array of data sources to build integrated data pipelines that process billions of records each day and influence our critical business initiatives.
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'll do
- Design, implement and support end to end scalable data pipelines for multiple data products
- Work closely with a cross functional team of data scientists and analysts and internal stakeholders on strategic initiatives
- Contribute in improving an evolving data platform for scalability, observability and reliability
- Partner with product and other data engineering teams to extract, transform and load data from various sources using big data technologies
- Build rich data sets that drive innovation in data driven insights at scale within the company
- Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team in Austin and San Francisco to improve the data collection and quality
Examples of desirable skills, knowledge and experience
- B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
- 3+ years of industry experience in software engineering, data engineering, or related fields
- Strong programming skills with Go, Python or any JVM based programming language
- Experience in writing advanced SQL queries
- Knowledge of data management fundamentals and data storage/computing principles
- Solid understanding of big data technologies such as Spark, BigQuery, Kafka etc.
- Strong communication skills
Bonus Points
- Experience with container based deployments such as Docker & Kubernetes
- Experience with Google Cloud Platform or other cloud storage platforms
- Experience in building RESTful and microservices applications is a plus
Top Skills
BigQuery
Docker
Go
Google Cloud Platform
Kafka
Kubernetes
Python
Spark
SQL
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