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ABOUT THE ROLE
We are looking for Python Engineers (all levels from Junior to Lead) for our Core Data Infrastructure to push our teams to new heights. You should have combination of laziness, unwillingness to write overcomplicated code and pathological desire to automate everything.
Salary range: 20 000 – 30 000 pln + sign on equity bonus
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
-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
THE BENEFITS
