About
Build and maintain data pipelines for machine learning models.
Develop Python code to run feature preprocessing and feature engineering on large Datasets.
Monitor the performance of ML models in production.
Required Skills and Qualifications:
Programming languages: SQL, Python
Distributed Computing: Spark
Cloud Infrastructure: AWS
Coud DevOps
Databases: Teradata, Vertica, Snowflake
Familiar with Containers: Docker
Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
Experience in building or maintaining ETL processes.
Professional certification
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Languages
- English
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