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 effective 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
Robust 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