Data Engineer, CAD Data
San Antonio ZOO - Los Angeles, California, United States, 90079
Work at San Antonio ZOO
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Overview
CAD Data Engineer
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San Antonio Zoo Continue with Google Continue with Google Join to apply for the
CAD Data Engineer
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We are seeking a highly skilled CAD Data Engineer to join our growing team to support our foundational data engineering processes. In this role, youll build, implement, and manage our ML data ecosystem to support Zoos ML initiatives as we scale. The right candidate will have a strong background in Python programming, data integration, data warehousing, data munging/cleaning, and ETL for ML datasets. The ideal candidate will also have an understanding of Computer-Aided Design (CAD) with knowledge of the relevant data required for hardware design. About The Role
We are seeking a highly skilled CAD Data Engineer to join our growing team to support our foundational data engineering processes. In this role, youll build, implement, and manage our ML data ecosystem to support Zoos ML initiatives as we scale. The right candidate will have a strong background in Python programming, data integration, data warehousing, data munging/cleaning, and ETL for ML datasets. The ideal candidate will also have an understanding of Computer-Aided Design (CAD) with knowledge of the relevant data required for hardware design.
What Youll Do
Develop and maintain automated processes for data collection from various sources Design and implement data warehousing solutions to store and manage large datasets Clean and pre-process data to ensure its quality and usability for ML models Create and manage ETL pipelines to transform raw data into structured datasets for ML applications Apply CAD knowledge to integrate and manipulate design data within our systems Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions Continuously optimize and improve Zoos data workflows and processes
What Youll Need
B.S. Computer Science or a related field, or equivalent professional experience Professional experience and demonstrated proficiency in Data Engineering Demonstrated proficiency with Python Knowledge of CAD and its integration with data systems Extensive experience working with CAD models and deep understanding of their design principles Expertise in data extraction, data warehousing, and data munging best practices Experience with Git
Nice to Have
Strong background in data analytics, statistics, and data visualization techniques Experience working on Generative AI applications Proficiency in Rust Proficiency with SQL Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
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