Overview

We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.

The role will support the development of governed reporting datasets, interactive Power BI dashboards, and automated reporting solutions for business users. The ideal candidate should be comfortable working across data engineering, reporting, and analytics layers.

Responsibilities
Design and build reporting datasets in Databricks using SQL and Delta tables.
Create reusable reporting views and data models for business consumption.
Develop Power BI dashboards, semantic models, and self-service reporting solutions.
Implement automated report generation and distribution solutions.
Work with business analysts and stakeholders to translate reporting requirements into technical solutions.
Support data reconciliation, testing, and production deployment activities.




Optimize reporting performance and data access patterns.

Required Skills

Data-bricks
Data-bricks SQL*
Unity Catalogue
SQL Warehouses
Delta Tables
Data modelling

Power BI/Data-bricks Dashboard
Power BI Desktop*
Semantic Models
DAX
Power Query
Dashboard development (Power BI & Data-brick)

Data Engineering
Advanced SQL
Data Warehousing concepts

�� ETL / ELT development
Data validation and reconciliation

Nice to Have
Python / PySpark
Power BI APIs
Paginated Reports
Report scheduling and distribution
Financial services or investment management experience
Data-bricks reporting architecture experience

Azure
Azure Data Factory (ADF)
Azure Storage
Service Principals and security concepts

📌 Data Engineer Toronto
🏢 Kumaran Systems
📍 Toronto