Data Engineer
Role details
Job location
Tech stack
Requirements
A data engineer who understands the challenges of MLOps (feature preparation, training, tuning, and inference)..
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A python development enthusiast, capable of juggling libraries and frameworks.
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A software craftsman capable of working with Quants and Data Scientists to solve problems related to the Machine Learning model lifecycle (e.g., setting up training pipelines).
The position requires advanced proficiency in Python and the AWS ecosystem (s3, step functions, athena, etc...). Previous experience with Databricks, Feature Stores, and Model Registries (MLFlow) is a plus.
Skills
Python V3: 10 years
Big Data Architecture & Technologies: 8 years < x <= 10 years
Databricks : < 3 years
Analytical and synthesis skills : 8 years < x <= 10 years