Elevate your career as a Lead Data Engineer with our team in Toronto, offering a hybrid work model. Drive innovative data solutions and architecture in an agile workplace. This Senior/Staff Data Engineer role entails developing robust data solutions while collaborating with business partners and stakeholders. You'll have a minimum of 8 years of experience in software and data engineering, complemented by expertise in Azure technologies including Data Factory, Databricks, and Azure DevOps.

Your impact will facilitate fast, data-driven decision-making across the organization. Key Responsibilities:

- Design and implement scalable data solutions and analytics
- Independently develop and ship complex features from start to finish




- Build and maintain efficient data pipelines for various needs
- Ensure data quality and integrity within data pipelines
- Establish Azure infrastructure for self-service analytics Requirements:
- Minimum 8 years in software/data engineering
- At least 2 years in a technical lead capacity
- Strong understanding of data architecture patterns
- Proficiency in Python and SQL, experience with PySpark
- Knowledge of CI/CD practices using tools like Git Drive innovation and excellence in data engineering as part of our Toronto-based team.

📌 Lead Data Engineer at Toronto Hybrid
🏢 Zohorecruit
📍 Toronto