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 #J-18808-Ljbffr Variyasinc