Top Tech Jobs & Startup Jobs in Toronto

Develops ETL pipelines, semantic data models, and Power BI reports using Azure and Microsoft Fabric. Transforms raw data through Bronze, Silver, and Gold layers; builds scalable ingestion and orchestration workflows; designs Direct Lake models, operational reports, and dashboards; writes optimized PySpark and SQL; troubleshoots data applications; and supports OLAP, data governance, security, and lineage requirements.

Develop and maintain enterprise Power BI dashboards, reports, semantic models, datasets, and data transformations. Translate business requirements into actionable reporting solutions using DAX, Power Query, SQL, and dimensional modeling. Integrate enterprise data sources, validate reporting accuracy, optimize performance, apply security and governance standards, maintain documentation and lineage, troubleshoot issues, and support stakeholders through training and analytics guidance. Collaborate with data engineering, architecture, product, and business teams in Agile delivery environments.

Administers and supports Oracle Fusion Recruiting Cloud and enterprise HCM environments. Configures recruiting workflows, templates, career sites, talent pools, security roles, and approval processes; manages Oracle integrations, identity services, tenant environments, releases, testing, migrations, and production incidents. Partners with HR, executives, vendors, and technical teams to gather requirements, troubleshoot issues, conduct root cause analysis, and support recruitment transformation initiatives.

Develop and operate scalable enterprise data solutions on the Ontario Data Platform. Responsibilities include building batch and near-real-time pipelines with Azure Data Factory, Databricks, ADLS, Spark, and Delta Lake; implementing medallion architecture, data quality controls, governance, and integrations; automating deployments through Azure DevOps and CI/CD; troubleshooting workloads; documenting solutions; and collaborating with technical and business stakeholders in Agile teams.

Develop scalable full-stack enterprise applications using Java, Spring Boot, React, and modern databases. Responsibilities include technical design, coding, REST API and microservices development, automated testing, deployment, troubleshooting, data migration, system integration, and production support. The role collaborates with stakeholders and cross-functional Agile teams while ensuring security, accessibility, performance, and scalability.

Leads the analysis, design, development, integration, implementation, and support of enterprise IT solutions, primarily Microsoft Dynamics 365 F&O and SCM. Translates business requirements into system designs, configurations, integration flows, and functional specifications. Provides technical leadership across the SDLC, supports production troubleshooting, evaluates technology solutions, coordinates projects, facilitates stakeholder workshops, and coaches junior analysts. Requires strong supply chain process knowledge, D365 configuration and integration expertise, and the ability to work with architects, developers, QA, vendors, and business teams.

Senior Business Analyst responsible for gathering, documenting, and analyzing complex business and technology requirements. Leads stakeholder engagement, business process re-engineering, business case development, cost-benefit analysis, feasibility studies, business and data modeling, and functional requirements documentation. Creates project deliverables including process models, mockups, logical architecture artifacts, privacy impact assessments, and threat risk assessments while supporting enterprise IT initiatives and reporting progress to stakeholders.

Senior QA specialist responsible for testing monitoring and evaluation reporting systems. Develops test strategies, plans, scripts, and cases; performs manual, functional, integration, performance, regression, and user acceptance testing. Uses complex SQL queries to validate databases, ETL processes, data transformations, and migrations. Produces QA documentation, traceability records, test results, and estimates while collaborating with technical and business stakeholders.

Provide L3 production support for Salesforce Data Cloud and Loyalty Management. Troubleshoot incidents involving platform architecture, APIs, SQL, data integrations, and upstream or downstream applications. Perform root cause analysis, resolve problems within SLAs, manage critical incidents, coordinate stakeholders, and support ITIL-based incident and change processes. The role includes monitoring with Splunk or Dynatrace, ServiceNow usage, and rotational on-call coverage.

Provide L3 production support for Salesforce Data Cloud and Loyalty Management platforms. Troubleshoot incidents, APIs, integrations, SQL queries, and upstream or downstream application issues; perform root cause analysis and resolve problems within SLAs. Manage critical incidents, coordinate stakeholders, and support ITIL-based incident and change processes. The role requires hands-on Data Cloud development, Apex, basic development skills, and rotational on-call support.