Python Data Engineer M/F

Created on 13-09-2017

Location Berlin

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Description

As part of a small cross-functional innovative team, you will work pairing with Data Scientists and AI/ML Engineers on:
Rolling out Machine Learning models into production environment
Providing REST or Event-Streaming API on top of ML and AI models
Building data-sourcing and data-processing pipelines for research and development needs. Batch and near-real-time.
Managing and monitoring team's cloud infrastructure
Applying best engineering practices in development process (eg. CI/CD, containers, unit-, international-, and load-testing, etc) Several years of experience as Data Engineer or Software Engineer
Fluent in Python stack
Familiarity with machine learning, real-time data processing
Working experience with structured engineering methods and approaches (TDD, DevOps, CI, VCS, Agile)
Experience with big data technologies (Flume, Kafka, Spark, Presto, Redshift and NoSQL Databases)
Practical experience with Amazon Web Services and other cloud technologies (Docker, Kubernetes)
Hands-on experience in the design and implementation of data pipelines (Luigi, Airflow)
Fluent in English; every other European language is a plus