Senior Data Engineer Role in Toronto
Summary
Lead large-scale data engineering and pipeline maintenance using Python, SQL, and Hadoop to transform datasets and support analytics in an onsite capacity.
Advance your career as a Senior Data Engineer in Toronto, Canada with Mastercard. Focus on technical leadership and innovative data solutions in an onsite capacity.
As a Senior Data Engineer, you will handle large-scale data processing necessary for analytics and business growth. Your knowledge of data tools and platforms will support the design and maintenance of high-performance data pipelines. Collaborating effectively with analytic and engineering teams will be crucial for integrating diverse data sets into actionable insights.
Key Responsibilities: • Lead the transformation of high-volume datasets for analytics • Maintain scalable, robust data pipelines across technology stacks • Partner with stakeholders to align data initiatives with business goals • Analyze data to derive actionable insights and recommendations • Establish technical standards and oversee mentoring for engineering teams
Requirements: • 8+ years in data engineering with a focus on leadership • Strong competency in Python, SQL, and Hadoop platform • Experience with ETL/ELT tools in cloud environments • Knowledge of data modeling and analytics techniques • Understanding of data governance and security practices
Shape innovative data outcomes at Mastercard as a Senior Data Engineer in Toronto.
As a Senior Data Engineer, you will handle large-scale data processing necessary for analytics and business growth. Your knowledge of data tools and platforms will support the design and maintenance of high-performance data pipelines. Collaborating effectively with analytic and engineering teams will be crucial for integrating diverse data sets into actionable insights.
Key Responsibilities: • Lead the transformation of high-volume datasets for analytics • Maintain scalable, robust data pipelines across technology stacks • Partner with stakeholders to align data initiatives with business goals • Analyze data to derive actionable insights and recommendations • Establish technical standards and oversee mentoring for engineering teams
Requirements: • 8+ years in data engineering with a focus on leadership • Strong competency in Python, SQL, and Hadoop platform • Experience with ETL/ELT tools in cloud environments • Knowledge of data modeling and analytics techniques • Understanding of data governance and security practices
Shape innovative data outcomes at Mastercard as a Senior Data Engineer in Toronto.