RQ11676 - Software Developer - ETL - Intermediate

Job summary

The developer will design, develop, and maintain interactive Power BI dashboards and reports to support enterprise decision-making. They will also collaborate with data engineering teams to integrate various data sources and ensure data quality and governance across reporting solutions.

Job details

Role Overview: The Government of Ontario is undertaking a large-scale Data & AI transformation initiative, with the Ontario Data Platform (ODP) serving as the enterprise technology ecosystem for data-driven decision-making, analytics, and artificial intelligence. ODP provides a modern and scalable data environment that supports data ingestion, storage, processing, governance, quality, marketplace capabilities, and advanced analytics across ministries and government organizations. We are seeking a Power BI Developer to support the development, maintenance, and enhancement of enterprise reporting and analytics solutions. The successful candidate will work closely with business stakeholders, data engineers, architects, and product teams to deliver insightful dashboards, reports, and data visualizations that enable evidence-based decision-making across government programs and services. Requirements Experience and Skill Set Requirements: Must Haves: Degree or diploma in Computer Science, Information Systems, Data Analytics, Business Intelligence, or a related field. Experience developing dashboards, reports, and visualizations using Microsoft Power BI. Strong knowledge of DAX, Power Query (M), and Power BI data modeling concepts. Experience working with SQL and relational databases. Understanding of data warehousing, dimensional modeling, and business intelligence best practices. Experience working with large datasets and transforming complex business requirements into reporting solutions. Strong analytical, problem-solving, and communication skills. Ability to work collaboratively with technical and non-technical stakeholders. Strong understanding of dimensional modelling, star schema design, and analytical data modelling concepts. Knowledge of data governance, metadata management, and data lineage principles. Nice to Have: Experience working with Databricks, including connecting Power BI to Databricks SQL Warehouses and Lakehouse data sources. Familiarity with Azure Data Platform services such as Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, or Microsoft Fabric. Experience with enterprise data governance and data quality initiatives. Knowledge of Python, R, or other analytics tools. Experience supporting data and analytics platforms within a large public-sector or enterprise environment. Exposure to Agile delivery methodologies and DevOps practices. Skill Set Requirements: Power BI Development & Reporting Design, develop, and maintain interactive Power BI dashboards and reports to support business and operational needs. Create data models, measures, and calculations using DAX to deliver meaningful business insights. Implement data visualization best practices to ensure reports are intuitive, accessible, and actionable. Gather and analyze business requirements and translate them into reporting solutions. Develop and maintain enterprise semantic models, datasets, and reusable reporting assets that support standardized analytics and reporting Data Integration & Analytics Support Connect and integrate data from various enterprise data sources, including databases, APIs, cloud platforms, and data warehouses. Develop and optimize Power Query (M) transformations for efficient data preparation and reporting. Collaborate with data engineering teams to ensure data quality, governance, and consistency across reporting solutions. Support ad hoc data analysis and reporting requests from business stakeholders. Perform data validation, reconciliation, and user acceptance testing (UAT) activities to ensure reporting accuracy and integrity. Performance, Governance & Support Monitor and optimize report performance, data refresh schedules, and workspace administration. Apply security models, row-level security (RLS), and governance standards within Power BI. Troubleshoot data, visualization, and performance issues and provide ongoing support to users. Develop and maintain documentation for reports, datasets, and reporting standards. Maintain data lineage, metadata, and documentation for reporting assets and semantic models. Ensure reporting solutions comply with organizational data governance, security, privacy, and accessibility standards. Stakeholder Engagement & Knowledge Sharing Work closely with business users to understand reporting requirements and identify opportunities for enhanced analytics. Provide guidance and training to report consumers and business teams on Power BI capabilities and best practices. Participate in Agile delivery teams and contribute to continuous improvement initiatives. Evaluation breakdown: Technical(Azure/Databricks) Communication Public Sector

What you’ll do

The developer will design, develop, and maintain interactive Power BI dashboards and reports to support enterprise decision-making. They will also collaborate with data engineering teams to integrate various data sources and ensure data quality and governance across reporting solutions.

Requirements

Candidates must have a degree or diploma in a relevant field and strong experience with Microsoft Power BI, DAX, and SQL. Proficiency in dimensional modeling and the ability to translate complex business requirements into actionable reporting solutions are essential.

Listed skills

• Power BI · Preferred
• SQL · Preferred
• Agile · Preferred
• Data visualization · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Power BI
• DAX
• Power Query
• SQL
• Data Modeling
• Data Warehousing
• Dimensional Modeling
• Azure Data Platform
• Databricks
• Data Governance
• Business Intelligence
• Agile
• DevOps
• Data Visualization
• Metadata Management
• Star Schema
• SQL (Programming Language)
• Data Analysis
• Dashboard
• Data Analysis Expressions (DAX)
• Communication
• Data Engineering
• Agile Methodology
• Governance
• Problem Solving
• Information Systems
• Troubleshooting (Problem Solving)
• Business Requirements
• Decision Making
• Continuous Improvement Process
• Warehousing
• Artificial Intelligence
• Data Quality
• Data-Driven Decision Making
• Stakeholder Engagement
• Relational Databases
• Data Validation
• Application Programming Interface (API)
• Python (Programming Language)
• Technology Ecosystems
• Microsoft Azure
• Azure Synapse Analytics
• Data Integration
• Azure Data Factory
• Scalability
• Microsoft Fabric
• Computer Science
• Data Preprocessing
• R (Programming Language)
• Advanced Analytics

Job areas

• Data & Analytics
• Software
• Technology
• Government & Public Sector
• Software Developer
• ETL Developer
• Database Designers and Administrators
• Database Administrators

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