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Data Engineer
2 months ago
We're a fast-growing Toronto-based startup that's modernizing the way vendors and property managers work together. Our industry-specific vendor management and procurement software connects over 6,000 buildings and 50,000 vendors in a single marketplace, improving efficiency and reducing costs for property managers while driving new business to vendors across the continent.
The RoleWe're seeking a highly skilled Sr Data Engineer to join our data team. As a key member of our team, you'll contribute to the design and development of scalable data pipelines and manage our business intelligence tools. Your role will involve collaborating with various stakeholders to understand requirements, implementing solutions to improve data quality and accessibility, and driving analytical insights to support decision-making across the organization.
Responsibilities- Create and maintain scalable and reliable data pipelines to process structured and unstructured data from internal and third-party systems.
- Develop and manage ETL processes using dbt, ensuring data is clean, organized, and optimized.
- Develop accurate, well-documented, and flexible data models to serve as a single source of truth for the organization.
- Collaborate with internal stakeholders to design and develop internal and external reporting solutions to solve business problems and provide valuable insights primarily with Sigma.
- Implement and monitor data quality checks to ensure the accuracy, completeness, and consistency of data across all pipelines.
- Champion data privacy, quality, and security within the organization.
- 3+ years of experience as an Analytics Engineer or Data Engineer.
- Bachelor's degree with a major in Mathematics, Statistics, Computer Science, Engineering, or equivalent.
- Proficient in SQL and Python.
- Experience with analytics data warehouses such as Redshift, Snowflake, or BigQuery.
- Proficiency in data pipeline and workflow management tools such as dbt, AWS Glue, Fivetran, and Segment.
- Experience with business intelligence tools and familiarity with Sigma and Heap is a plus.
- Ability to learn new technologies and strong problem-solving skills.
- Excellent communication skills, both verbal and written.
- Opportunity to work in a high-growth, dynamic environment.
- Competitive compensation package.
- Comprehensive health benefits.
- Remote work opportunities.
- 15 days of vacation + Paid wellness days.
- Real work/life balance.
- Team events and a collaborative tight-knit team.
- Ongoing learning and development opportunities.
