Lead Data Engineer at Toronto Hybrid
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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. #J-18808-Ljbffr
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