Senior ML Data Engineer Feature Engineering ETLQualifications7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for MLProven experience managing pipelines on Databricks using Apache Spark with a strong understanding of the medallion architectureFamiliarity with ML lifecycle management with MLflow experience as a strong plus and advanced skills in Apache Spark PySpark for big data processing and analyticsProficient in Python for data manipulation and SQL for query optimizationExperience building pipelines for real-time and batch model serving in production environments and knowledge of CICD practices for ETL/ELT pipeline developmentExpertise in metadata and master data management within technical data cataloguesUnderstanding of data security and compliance especially with sensitive data like PIIRequired Skills: Data WarehouseBasic Qualification:Additional Skills: Data EngineerBackground Check: NoDrug Screen: No
Senior ML Data Engineer - Remote in workfromhome at Unknown Company
This position is listed as full time and onsite.