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PowerBI Developer, ETL, Azure, Databricks, SQL

  • Toronto, ON, Canada
  • Greater Toronto Area, Canada, Canada

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Job details

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Contract
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Posting language
English
Posted

Original job description

Software Developer - ETL (Intermediate) / Power BI Developer

Client: Government Services Integration Cluster (GSIC)- RQ11676

Ministry: Ministry of Public and Business Service Delivery and Procurement

Rate: $70-75

Location: Toronto, ON

Work Model: 100% Onsite

Contract: Till March 31, 2027, can extend

The Government of Ontario is seeking an experienced Software Developer - ETL/Power BI Developer to support the Ontario Data Platform (ODP), a large-scale Data & AI transformation initiative. The successful candidate will develop enterprise-grade Power BI dashboards, reporting solutions, and data models while collaborating with business stakeholders, data engineers, and architects to deliver impactful analytics and insights.

Key Responsibilities

  • Develop, enhance, and maintain Power BI dashboards, reports, and semantic models.
  • Create DAX calculations, data models, and Power Query transformations.
  • Integrate data from databases, APIs, cloud platforms, and data warehouses.
  • Support data validation, reconciliation, testing, and reporting accuracy.
  • Implement report security, governance standards, and Row-Level Security (RLS).
  • Optimize report performance, refresh schedules, and workspace management.
  • Collaborate with business users and technical teams to deliver reporting solutions.
  • Maintain documentation, data lineage, and reporting standards.

Must-Have Skills

  • Degree or Diploma in Computer Science, Information Systems, Data Analytics, Business Intelligence, or a related field.
  • Strong experience developing dashboards, reports, and visualizations using Microsoft Power BI.
  • Expertise in DAX, Power Query (M), Data Modeling, and Semantic Models.
  • Experience with SQL and relational databases.
  • Strong understanding of data warehousing, dimensional modeling, and star schema design.
  • Experience transforming complex business requirements into reporting and analytics solutions.
  • Knowledge of data governance, metadata management, and data lineage concepts.
  • Experience working with large datasets and enterprise reporting environments.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.

Nice-to-Have Skills

  • Experience with Databricks, including Databricks SQL Warehouses and Lakehouse architectures.
  • Familiarity with Azure Data Platform services such as:
  • Azure Data Lake Storage (ADLS)
  • Azure Synapse Analytics
  • Azure Data Factory (ADF)
  • Microsoft Fabric
  • Experience with enterprise data governance and data quality initiatives.
  • Knowledge of Python, R, or other analytics tools.
  • Experience supporting large public-sector or enterprise analytics platforms.
  • Exposure to Agile, DevOps, and modern data delivery practices.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

More about this job

Responsibilities

Develop and maintain Power BI dashboards, reports, semantic models, and data transformations, integrating data from databases, APIs, cloud platforms, and warehouses. Ensure reporting accuracy, security, governance, performance, documentation, and data lineage while collaborating with business stakeholders and technical teams.

Requirements

A degree or diploma in computer science, information systems, data analytics, business intelligence, or a related field is required, along with strong Power BI, DAX, Power Query, data modeling, and SQL experience. Candidates should understand data warehousing and governance, and be able to translate complex business requirements into analytics solutions for large datasets and enterprise reporting environments.

Skills

  • Microsoft Power BI
  • DAX
  • Power Query (M)
  • Data Modeling
  • Semantic Models
  • SQL
  • Relational Databases
  • Data Warehousing
  • Dimensional Modeling
  • Star Schema Design
  • Databricks
  • Azure Data Platform
  • Data Governance
  • Data Lineage
  • Data Validation
  • Row-Level Security

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Government & Public Sector

Keywords

  • Power BI
  • ETL
  • DAX
  • Power Query
  • SQL
  • Databricks
  • Databricks SQL Warehouses
  • Lakehouse Architecture
  • Azure Data Lake Storage
  • Azure Synapse Analytics
  • Azure Data Factory
  • Microsoft Fabric
  • Data Modeling
  • Semantic Models
  • Data Warehousing
  • Dimensional Modeling
  • Star Schema
  • Data Governance
  • Metadata Management
  • Data Lineage
  • Row-Level Security
  • Data Quality
  • Python
  • R
  • Agile
  • DevOps
  • Data Analytics
  • Enterprise Reporting
  • Data Validation
  • Data Reconciliation

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