Liebherr Group
Data Pipeline Development: Design, build, and maintain robust ETL/ELT processes to ensure smooth and reliable data flow across systems.
Data Modeling & Architecture: Develop scalable, efficient data models and architect storage solutions that support analytical and operational needs.
Data Integration: Integrate diverse data sources—including APIs, databases, and cloud services—for seamless and automated data ingestion.
Performance Optimization: Optimize database structures and fine-tune queries to maximize data processing performance and efficiency.
Data Quality & Governance: Implement data validation, cleansing, and monitoring practices to uphold high standards of data accuracy, consistency, and reliability.
Infrastructure Management: Manage and optimize data infrastructure, including data warehouses, data lakes, and cloud...
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Data Engineer (COT)
Description
Creating passion: your responsibilities
Roles & Responsibilities: