Data Engineering Opportunity at PureFacts
Posted
Summary
Data engineer (lead) at PureFacts Financial Solutions in Toronto: builds and maintains Snowflake data pipelines, writes DBT transformation rules, integrates data sources, monitors pipeline accuracy, and helps set data governance standards using Python, SQL, and Azure.
Advance your career as a Data Engineer with PureFacts Financial Solutions in Toronto, Ontario. This lead role offers hands-on experience with Snowflake and Azure to optimize data systems.
In this role, you'll take charge of building and refining data workflows, collaborating with data scientists and analysts. The position highlights the utilization of data build tools (DBT) and Azure services to support effective data governance and integration within the organization.
Key Responsibilities: • Develop and maintain data pipelines with Snowflake technology • Create data transformation rules using DBT for quality control • Integrate data from various sources into our systems • Monitor data pipeline performance and accuracy • Participate in establishing data governance standards
Requirements: • Bachelor's degree in a quantitative field like Computer Science • Experience with programming languages such as Python • Familiarity with foundational data concepts including data warehousing • Basic knowledge of SQL and exposure to cloud platforms • Enthusiasm for learning Snowflake, Azure, and DBT
Leverage your data skills to contribute to the innovative projects at PureFacts, driving success in financial management.
In this role, you'll take charge of building and refining data workflows, collaborating with data scientists and analysts. The position highlights the utilization of data build tools (DBT) and Azure services to support effective data governance and integration within the organization.
Key Responsibilities: • Develop and maintain data pipelines with Snowflake technology • Create data transformation rules using DBT for quality control • Integrate data from various sources into our systems • Monitor data pipeline performance and accuracy • Participate in establishing data governance standards
Requirements: • Bachelor's degree in a quantitative field like Computer Science • Experience with programming languages such as Python • Familiarity with foundational data concepts including data warehousing • Basic knowledge of SQL and exposure to cloud platforms • Enthusiasm for learning Snowflake, Azure, and DBT
Leverage your data skills to contribute to the innovative projects at PureFacts, driving success in financial management.