Data Analytics Developer

4 weeks ago

Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Victoria Halton Hills Surrey London Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario W, Canada Cpus Engineering Staffing Solutions Inc. Full time

We are currently requesting resumes for the following position: Data Analytics DeveloperResume Due Date: Friday, April 04, 2025 (5:00PM EST)Job ID: 25-048Number of Vacancies: 2Level: MP4Duration: 8 MonthsHours of work: 35 Hours per weekLocation: 700 University Avenue, TorontoWork Mode: 100 % remoteJob 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 ResponsibilitiesDesign, develop, and deploy advanced data analytics solutions using SQL, Python, and Power Bl Perform data curation and enrichment activities using structured enterprise data setsBuild optimized and reusable data models for analytics and reporting Support development of analytics for key initiativesWork within an Azure Data Lake and Databricks ecosystem, integrating curated datasetsCollaborate with internal data teams and SMEs to gather requirements and deliver actionable insights Ensure accuracy, reliability, and performance of developed analytics solutionsQualifications5+ years of experience in data analytics and business intelligence developmentExpert-level SQL skills, with proven experience in data wrangling, enrichment, and modeling Proficiency in Power Bl dashboard creation and visual storytellingExperience working in Azure analytics environments (e.g., Data Lake, Synapse, Azure SQL, Databricks)Strong understanding of data pipelines and ETL/ELT workflowsExposure to Python and machine learning libraries is an asset (not required but preferred)Ability to interpret business requirements and translate them into technical specifications Strong communication and collaboration skillsAssetsFamiliarity 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. #J-18808-Ljbffr

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