Big Data Engineering Manager

About the position

Responsible for leading the Big Data Engineering team and overseeing the planning, development, and operations of the Big Data Platform. This role requires not only overall team management but also hands-on technical involvement to tackle complex technical challenges and ensure the platform's stable and efficient performance.

Responsibilities

• Lead the team in executing data cleansing, data warehouse modeling, and report development on the Big Data Platform to provide crucial data support.
• Address daily technical challenges, optimize system performance, conduct fault diagnosis, and resolve issues to ensure stable and efficient platform operations.
• Organize regular technical sharing sessions and training programs to enhance the team's overall technical proficiency and problem-solving capabilities.
• Stay up-to-date with the latest big data industry technologies and apply them to the big data platform to enhance data processing efficiency, providing more efficient and intelligent data support and analytical services to external departments.
• Oversee the deployment of the Big Data Platform, including task scheduling, proactive monitoring, and alert configuration to ensure system security, stability, and high availability.
• Participate in platform architecture design and optimization, resolving technical challenges in data collection, integration, and ETL development to ensure efficient and accurate data processing workflows.
• Promote the implementation of data de-identification and data security management strategies to maintain data compliance and privacy protection.
• Collaborate closely with business departments to understand and analyze requirements, providing customized data solutions and actionable insights.
• Manage data querying, statistical analysis, and report development, delivering accurate and timely data reports and technical recommendations to decision-makers.
• Coordinate internal and external resources to drive the application of big data technologies across various business scenarios within the company.