Data Engineer

该职位来源于猎聘 Responsibilities: Data Architecture &

• Strategy: Design and optimize data architecture for MES, Digital and maintenance systems analytics, including data lake and data warehouse solutions Data Collection &
• Integration: Establish comprehensive data collection frameworks from multiple systems (Apriso ,Maximo, Smart Maintenance, BMS, EMS) and IoT sensors Data Lake &
• Warehouse Design: Architect and implement data lake solutions using modern technologies (Delta Lake, Iceberg) and design dimensional models for Snowflake data warehouse Data Pipeline Development: Build robust ETL/ELT processes using dbt to transform raw maintenance data into structured, analytics-ready datasets Data Quality &
• Governance: Implement data quality frameworks, data lineage tracking, and ensure data consistency across all maintenance data sources Real-time Data Processing: Design streaming data architectures using Kafka and real-time analytics pipelines for immediate maintenance insights Cross-functional Collaboration: Work with maintenance teams to understand data requirements and translate them into scalable data solutions Required Skills &

Qualifications: Data Lake Technologies: Deep expertise with Delta Lake, Apache Iceberg, or similar data lake table formats Data Warehouse Design: Strong experience with Snowflake, including performance optimization, clustering, and warehouse sizing Data Modeling: Expert-level dimensional modeling skills (Kimball methodology) and experience with data vault modeling ETL/ELT Development: Proficiency with dbt (data build tool) for data transformation and pipeline orchestration Data Pipeline Orchestration: Hands-on experience with Apache Airflow for workflow management and task scheduling