Data Engineer

Job Description:

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