Python Software Engineer
Revolut
 Berlin, MA
ABOUT THE ROLE
We are looking for Python Engineers for our Core Data Infrastructure to push our teams to new heights and has combination of laziness, unwillingness to write overcomplicated code and pathological desire to automate everything.

What you'll be doing:
-Enforcing consistent quality by incorporating tests and performing code reviews with data scientists and data engineers
-Explore and experiment new tools, libraries and technologies to improve our solutions
-Support and train new and existing users of the platform
-Taking ownership of certain parts of the automation and abstraction framework dealing recurring etl tasks, ensuring monitoring, reliability and scaling up of data both in volumes and variety
-Creating and maintaining company-wide repository of metadata and related artefacts
-Collaborating with product owners, engineers and data scientists to implement a seamless data platform
-Coming up with and enforcing best practises regarding everything - coding, testing, deployment, etc.

WHAT SKILLS YOU’LL NEED
-Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering)
-Fluency in SQL, Python, Unix/bash scripting.
-Ability to write easily understandable and maintainable code in multiple programming languages

Databases:
- SQL {Redshift, Vertica, Exasol, PostgreSQL, MySQL, BigQuery}
- NoSQL {DataStore, CouchDB, Redis}
- Understanding their strengths and weaknesses

Big data: 
- Experience using, configuring, and tweaking one of Kafka, Spark, Flink, etc
Productionizing: 
- Docker, K8s, Ansible/Puppet, Teamcity/Jenkins, monitoring and alerting
Versioning: 
- GIT, Jira, or similar

Desired:  
- Interest in data analysis/data visualisation (D3 is a plus)
- Experience with prototyping and sketching
- Side projects or open source contributions
- Cloud: GCP
- Java, Javascript, GO, etc.

DOMAIN KNOWLEDGE
If you have expertise in one of the following, awesome!
- Fraud Detection
- AML/CTF Risk
- Monetization
- Engagement and User Activation
- Credit and Operational Risk Modelling
- Productionizing models
- Code generation