Data Engineer
Core
Building and maintaining feature repositories and data pipelines to support machine learning model development and production deployment.
Role type
Senior Data Engineer (ML Infrastructure)
Builds
Feature repositories, data pipelines, and production ML model deployments
Domain
Machine Learning Operations (MLOps) and Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, NoSQL, PySpark, Hadoop, Kafka, MLOps architectures, data modeling, data mining
Preferred skills
Scala, SAS
Responsibilities
Deploying machine learning models to production, validating and maintaining existing feature repositories, creating new features for ML models, setting up data tools and pipelines for data scientists, maintaining data quality and reliability of deployed features, collaborating with data scientists on feature requirements, enhancing data layers for reporting
Seniority
Senior, hands-on IC
