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Senior ML Data Engineer Feature Engineering ETLQualifications 7 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 PII
Required Skills: Data WarehouseBasic Qualification: Additional Skills: Data EngineerBackground Check: NoDrug Screen: No

Also on the board Same function, level within a rung

Level

Senior

Location

Plano, TX

Occupation

Data Warehousing Specialists

Industry

Custom Computer Programming Services

Posted

2 days ago

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