Analytics Engineer

• Design and implement modern data platforms using Microsoft Fabric and Databricks
• Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
• Develop scalable lakehouse architectures for analytics, reporting, and downstream data products
• Translate business and analytical requirements into technical data models
• Write, optimize, and tune SQL and Spark transformations for large-scale analytical workloads
• Apply version control, CI/CD concepts, and code review standards to data engineering workflows
• Design complex Power BI data models and enterprise-grade semantic layers
• Create interactive reports and dashboards that drive client decisions
• Develop, optimize, and peer-review DAX formulas
• Integrate diverse data sources into Power BI
• Ensure data quality, reliability, and usability across the analytics platform
• Enable self-service analytics through trusted datasets and dashboards
• Gather requirements from client stakeholders, communicate technical concepts, and manage expectations
• Advise clients on Power BI solutions and data platform decisions
• Research emerging tools and trends
• Support marketing and business development efforts as a technical expert
• Facilitate training and support platform adoption and change
• Build strong client relationships and proactively identify opportunities to add value
• Collaborate with project managers, architects, and consultants
• Ensure solutions meet performance, scalability, security, and maintainability standards
• Contribute to documentation, reusable patterns, knowledge sharing, retrospectives, and data platform standards
• Maintain a minimum 75% utilization rate

Explore Data and Analytics Engineer at Collectiv. Review requirements and application details.

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