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Data Architect
LinkedIn Recruiter Post
Data Architect needed in Downtown Toronto (mostly remote). Requires 8+ years in data architecture and 5+ years with Microsoft Purview.
About the role
- Data Analyst bridging business needs and technology solutions for Sun Life. Transforming data requests into automated solutions for enhanced efficiency and effectiveness in a health analytics team.
Responsibilities
- Transform ad-hoc data requests to automated, self serve solutions.
- Reverse engineer legacy reports, collaborate with business to improve them and automate by data pipelines in the cloud.
- Support data engineering best practices.
- Identify and participate in initiatives for process automation and optimization.
- Develop innovative solutions for business challenges using critical thinking and problem-solving skills.
- Own, create, and maintain documentation to support knowledge sharing and ensure appropriate backup coverage.
Requirements
- Strong proficiency in SQL including complex joins, window functions.
- Experience with Python for tooling, and workflow development.
- Practical experience with AWS (lambda functions, glue jobs, step functions, CloudWatch etc.) or equivalent cloud platforms.
- Solid understanding of data warehousing concepts, ETL patterns.
- Proficiency with Git and version control workflows.
- Detail-oriented: able to follow process notes, carefully preserve data integrity and ensure quality output with minimal to no errors/issues.
- Communication skills: excellent collaboration with strong written and verbal communication skills; ability to document processes.
- Takes initiative: resourceful at problem solving and continually improving job processes and procedures.
- Ability to work independently, as well as part of a team.
- Adaptability: ability to adapt to changing priorities and manage time effectively to handle multiple tasks concurrently.
- Familiarity with CI/CD pipelines is nice to have.
- Familiarity with Spark data frames, Spark SQL, PySpark is nice to have.
- Exposure to BI tools (e.g., Tableau, QuickSight, Power BI) is nice to have.
- Experience using GenAI tools to improve productivity in SQL development, data exploration, and documentation is nice to have.
Benefits
- Flexible Benefits from the day you join to meet the needs of you and your family.
- Pension, stock and savings programs to help build and enhance your future financial security.
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