Data Engineer
Brother Canada
- Dollard-des-Ormeaux, QC
- Permanent
- Temps-plein
- Design, develop, and maintain data pipelines for transforming, integrating, and ensuring data quality across multiple sources
- Assist in building and optimizing data warehousing solutions to support analytics and reporting functions
- Build and manage ETL processes using tools such as Alteryx, Azure Data Factory, or similar
- Implement cloud-based data solutions on platforms such as AWS, Azure, and Snowflake, ensuring scalability and efficiency
- Troubleshoot and resolve data quality issues, ensuring accurate and consistent data flows across systems
- Collaborate with cross-functional teams to gather data requirements and contribute to the design of data solutions
- Contribute to the creation of technical documentation for data pipelines and workflows, including code comments and best practices
- Apply data governance principles and compliance practices to ensure data is handled and stored securely
- Stay current with emerging technologies and best practices in data engineering to improve systems and processes
- Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field
- Experience: 2-5 years of experience in data engineering, data analysis, or a related role
- Database Systems: Proficiency in SQL, with hands-on experience in Snowflake, AWS, Azure, or similar platforms
- ETL Tools: Strong experience with ETL tools such as Alteryx, Azure Data Factory or equivalent
- Cloud Platforms: Practical knowledge of AWS, Azure, or Snowflake environments
- Programming: Proficiency in programming languages like Python, or SQL
- Data Governance: Understanding of data governance and compliance standards
- Ticketing Tool: Working knowledge of Jira and or Workfront for project management and issue tracking
- Soft Skills: Strong communication and problem-solving skills with the ability to collaborate effectively with technical and non-technical stakeholders
- Languages: Proficiency in French and English is an asset
- Experience with machine learning frameworks or data science concepts
- Familiarity with data visualization tools such as Tableau or Power BI
- Strong analytical skills with a passion for data and problem-solving
- A proactive approach to learning new technologies and improving existing systems
- Ability to manage multiple priorities and work effectively in a fast-paced environment
#LI-Hybrid #atyourside