We are currently requesting resumes for the following position : Data Analytics Developer
Resume Due Date : Friday, April 04, 2025 (5:00PM EST)
Job ID: 25-048
Number of Vacancies : 2
Level : MP4
Duration : 8 Months
Hours of work: 35 Hours per week
Location : 700 University Avenue, Toronto
Work Mode: 100 % remote
Job Overview About the Role:
We are seeking an experienced Data Analytics Developer to support a growing portfolio of analytics use cases across enterprise functions.
This role requires hands-on expertise in SQL-based data curation, data modeling, and Power Bl dashboard development, with potential to support data science work utilizing Python-based tools.
You will work within an Azure and Databricks environment, collaborating closely with business stakeholders, data stewards, and internal data teams.
Key Responsibilities Design, develop, and deploy advanced data analytics solutions using SQL, Python, and Power Bl Perform data curation and enrichment activities using structured enterprise data sets
Build optimized and reusable data models for analytics and reporting Support development of analytics for key initiatives
Work within an Azure Data Lake and Databricks ecosystem, integrating curated datasets
Collaborate with internal data teams and SMEs to gather requirements and deliver actionable insights Ensure accuracy, reliability, and performance of developed analytics solutions




Qualifications 5+ years of experience in data analytics and business intelligence development
Expert-level SQL skills, with proven experience in data wrangling, enrichment, and modeling Proficiency in Power Bl dashboard creation and visual storytelling
Experience working in Azure analytics environments (e.g., Data Lake, Synapse, Azure SQL, Databricks)
Strong understanding of data pipelines and ETL/ELT workflows
Exposure to Python and machine learning libraries is an asset (not required but preferred)
Ability to interpret business requirements and translate them into technical specifications Robust communication and collaboration skills
Assets Familiarity with enterprise data governance practices and metadata tools.
Previous work in highly regulated or enterprise-level environments.
Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.

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📌 Data Analytics Developer (Ontario)
🏢 CPUS Engineering Staffing Solutions
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