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全职 Senior Specialist, Data Engineer, BSF Jobs, in ZEISS Group - Ricebowl
Senior Specialist, Data Engineer, BSF
ZEISS Group
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Undisclosed
全职
Singapore
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工作地点
Singapore
职位描述
岗位职责
Key Responsibilities
Data Platform Engineering
Design, develop, and support data solutions using Microsoft Fabric.
Build and maintain scalable data ingestion, transformation, and orchestration processes.
Develop and optimize Lakehouse and Data Warehouse solutions within Fabric.
Implement and maintain Medallion Architecture (Bronze, Silver, Gold) data structures.
Ensure data quality, integrity, and consistency throughout the analytics platform.
Monitor platform performance and proactively identify optimization opportunities.
Power BI Development
Design and maintain reusable semantic models and datasets.
Develop enterprise-grade Power BI reports, dashboards, and KPI frameworks.
Optimize Power BI performance, data refresh processes, and report usability.
Support self-service analytics initiatives while maintaining governance controls.
Collaborate with business users to translate reporting requirements into scalable solutions.
Data Integration
Integrate data from multiple enterprise systems, including:
SAP ERP
Salesforce CRM
Master Data Management solutions
SQL databases
SharePoint and Microsoft 365 platforms
External business applications
Develop robust ELT/ETL processes and automation workflows.
Support regional reporting requirements across Southeast Asia markets.
Governance and Security
Implement and maintain data governance standards.
Support metadata management, lineage, and documentation activities.
Ensure compliance with corporate security and privacy requirements.
Configure and maintain role-based access controls and data security models.
Collaboration and Continuous Improvement
Work closely with regional business stakeholders to understand analytical requirements.
Participate in data architecture discussions and technology roadmaps.
Contribute to the adoption of analytics best practices throughout the organization.
Support project delivery, testing, incident resolution, and continuous improvement activities.
Share technical expertise and mentor colleagues where appropriate.
Key Requirements
University degree in Computer Science, Data/ Software engineering, Mathematics or any related field
Minimum 5 years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or Business Intelligence
Demonstrated experience delivering end-to-end analytics solutions in enterprise environments
Experience supporting regional or multinational organizations is highly desirable
Experience working with stakeholders across multiple countries and business functions
Strong analytical and problem-solving skills
Excellent communication skills
Ability to work independently and collaboratively
Customer-focused mindset
Attention to detail and data quality
Experience working in multicultural regional environments
Your ZEISS Recruiting Team
Rebecca Felix
重要安全守则
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