Data Engineer
仕事内容
Design, build, test, and maintain scalable data pipelines for ingestion, transformation, and enrichment from diverse client sources.
Profile and assess raw data quality, implement automated validation and data cleaning, and establish data quality assurance processes.
Collaborate with data scientists to support feature engineering and data preparation workflows.
Optimize performance and cost efficiency of data workflows across cloud and on-prem environments.
Lead discussions with client stakeholders on data architecture, integration strategies, and delivery approaches; mentor junior engineers in best practices.
Partner with Product, Engineering, and Research to improve tooling and reusability, and contribute to ML data pipelines and feature stores as needed.
Profile and assess raw data quality, implement automated validation and data cleaning, and establish data quality assurance processes.
Collaborate with data scientists to support feature engineering and data preparation workflows.
Optimize performance and cost efficiency of data workflows across cloud and on-prem environments.
Lead discussions with client stakeholders on data architecture, integration strategies, and delivery approaches; mentor junior engineers in best practices.
Partner with Product, Engineering, and Research to improve tooling and reusability, and contribute to ML data pipelines and feature stores as needed.
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