到岗时间：不限
婚况要求：不限
Job Responsibilities
● Architect Operational Technology (OT) Data Pipelines: Design, build, and optimize high-availability data acquisition, ingestion, and preprocessing systems for industrial Ｏn-site (OT) equipment and IoT sensors.
● Advance Data Warehousing: Develop and maintain scalable, robust enterprise data models utilizing advanced dimensional and normalized data modeling methodologies.
● Drive Big Data Analytics: Conduct complex data analysis and build interactive reporting solutions utilizing high-performance query engines, including Hive, Presto, and ClickHouse.
● Enable Data-Driven Decisions: Apply statistical analysis techniques to extract actionable insights from manufacturing datasets, delivering comprehensive analytical reports to support strategic business decisions.
● Ensure Data Governance: Establish data quality standards, monitor pipeline performance, and troubleshoot data anomalies to guarantee data integrity across the production floor.
Qualifications
● Academic Background: Bachelor’s degree or higher in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field.
● Proven Track Record: Minimum of 2–3 years of hands-on experience in big data development, data engineering, or large-scale data pipeline projects.
● Core Technical Expertise: Mastery of SQL with deep, practical experience leveraging distributed query engines (Hive, Presto, ClickHouse).
● Analytical Toolkit: High proficiency in Python data analysis libraries (Pandas, NumPy, Matplotlib) and advanced Microsoft Excel functionalities.
● Data Architecture Mastery: Solid understanding of data warehouse design concepts and structural implementation using ETL/ELT workflow tools (Airflow, DataX, Kettle).
● Statistical Competency: Practical knowledge of statistical methods, including hypothesis testing, regression analysis, and clustering algorithms.
● Industry Advantage: Prior experience in manufacturing execution systems (MES), industrial IoT (IIoT) data architecture, or PLC/SCADA data integration is highly preferred.
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