Sr. Data Engineer
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The role
Support Digital Quality teams by developing data analytics models and tools to analyze Quality and Inspection data.
Translate manufacturing and quality processes into scalable data ecosystems and analytical solutions.
Develop and update models using Python, train users, and improve process performance and data quality.
Tasks include data cleansing, preprocessing, validation, and applying machine learning techniques to build robust models.
Assess data sources, analyze requirements and trends, and translate business needs into analytical solutions.
Communicate complex concepts to non-technical audiences and work independently or in teams while ensuring compliance.
Translate manufacturing and quality processes into scalable data ecosystems and analytical solutions.
Develop and update models using Python, train users, and improve process performance and data quality.
Tasks include data cleansing, preprocessing, validation, and applying machine learning techniques to build robust models.
Assess data sources, analyze requirements and trends, and translate business needs into analytical solutions.
Communicate complex concepts to non-technical audiences and work independently or in teams while ensuring compliance.
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