Senior Full Stack Analytics Developer at Manulife developing analytics solutions and innovative data visualization tools. Collaborating with diverse teams to improve investment decision - making processes.
KI
Senior Data Analytics Developer – Fabric Platform
Posted 2 months ago
About the role
- Senior Data Analytics Developer for Krux, building data infrastructure for innovative SaaS solutions in mining industry. Collaborating with a self-motivated team to drive company growth.
Responsibilities
- Design, develop and maintain enterprise scale Power BI semantic models (tabular)
- Architect scalable and high-performance data models to support multi-tenant SaaS analytics
- Define best practices for dataset design, governance, and life cycle management
- Optimize model performance, DAX calculations, aggregations and storage strategies
- Manage and enhance Power BI service environments (workspaces, deployment pipelines, security)
- Monitor and improve analytical database performance in cloud environments
- Conduct model tuning and capacity optimization to support growth and usage scaling
- Evaluate and enhance current analytics platform architecture
- Partner with teammates for ETL and data pipeline improvements
- Provide technical guidance on semantic layer design and analytics best practices
- Support cross functional stakeholders with scalable reporting architecture
- Assist in high-priority analytics platform issues
Requirements
- Bachelor’s Degree (Computer Science, Technology, Engineering, or related field)
- 10+ years of experience as a data analytics developer or engineer
- 5+ years of experience in developing data architecture solutions using Tabular Editor is highly desirable
- Experience in the energy, drilling and/or mining sector is an asset
- Experience with databases for high performance, multi-tenant web applications is necessary
- Familiarity with Azure cloud data services
- Experience with dev tools including Git, Azure, DevOps, Visual Studio, Jira
- Understanding of modern data development technologies (data engineering, pipeline, ETL)
- Strong attention to detail, critical thinking, and problem-solving skills
Benefits
- Work-life balance with flexible hours
- Hybrid work schedule
- Support and empowerment for team members
- Valued and respected work environment
- Diverse, equitable, and inclusive environment
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