[HQ967] Big Data Engineer

[HQ967] Big Data Engineer

19 dic
|
Azienda importante
|
Lazio

19 dic

Azienda importante

Lazio

Luogo di lavoro:

LisbonAt Cloudflare (Permanent), in Lisbon, PortugalExpires at:

2021-02-02At 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 trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare have all 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 recognized by the World Economic Forum as a Technology Pioneer and named to Entrepreneur Magazine's Top Company Cultures list. 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 departmentCloudflare is looking to grow our Business Intelligence team responsible for enabling various product and business teams such as Marketing, Sales, Finance, Customer Support, Infrastructure and Product Development teams with data and analytics. Our team currently has Data Engineers, Data Analysts, and Data Scientists and we are looking to add a data engineer in Lisbon, Portugal to scale our data platform. This will be a founding member of the data engineering team in our Lisbon office.What you'll doWork on the end-to-end big data pipeline Partner and align with data engineers, data analysts, data scientists, business leaders, stakeholders, product managers and internal teams to enable data driven solutions to key business problemsUnderstand 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 qualityBuild and maintain data systems following best practices in software engineering to support scale, reliability and experimentationBuild rich data sets that drive innovation in data driven insights at scale within the company

Main requirementsB.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields2+ years of engineering experience with proven industry experience in big data engineeringExperience building and supporting modern data lake and EDW technologies (Hadoop, Spark, Cloud, NoSQL etc.) and workflow technologies (eg. Airflow)Solid understanding of Google Cloud Platform, Python, Hive, and KafkaExperience with Tableau, Google Analytics and BigQuery (or any other Big data/Cloud equivalent) etc.Experience working with and processing structured, unstructured, and semi-structured dataExperience building data systems at scaleExperience with container based deployments such as Docker & KubernetesStrong communication skills

Nice to haveFull stack software development experience a strong plusExperience in building RESTful and microservices applications a plus

Puoi trovare l'offerta di lavoro originale su Kit Lavoro:
https://www.kitlavoro.it/lavoro/20160390/hq967-big-data-engineer-lazio/?utm_source=html

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