Data Analytics Developer- 25 048

Job closes: Friday, April 04, 2025
Number of Vacancies: 2
Hourly Rate: $85.00-$100.00 per hour/ INC
Duration: 8 Months
Hours of work: 35
Location: Downtown Toronto, 100 % remote.

Our client is 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 Strong communication and collaboration skills

• Desirable- Familiarity with enterprise data governance practices and metadata tools Previous work in highly regulated or enterprise-level environments