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 environment.

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 productive 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. #J-18808-Ljbffr

📌 Lead Data Engineer at Toronto Hybrid
🏢 Zohorecruit
📍 Toronto