Advance your career with a Senior Data Engineer role specializing in Python and PySpark in a hybrid setting based in Toronto. This position focuses on developing scalable data engineering solutions for the Capital Markets team.
In this role, you will engage with business stakeholders and technical teams to create optimized data solutions that are fundamental for finance, risk, and regulatory reporting. Harness your skills in cloud technologies to build robust data pipelines and address complex data engineering challenges.
Key Responsibilities:
• Design scalable data engineering solutions using Python
• Construct enterprise ETL/ELT pipelines for large datasets
• Develop efficient data solutions in Apache Spark




• Create frameworks for reliable data ingestion
• Optimize applications for performance and scalability
Requirements:
• Bachelor's in Computer Science, Engineering, or equivalent
• Minimum 6 years of software development experience
• 4+ years in application development with Python and PySpark
• Experience with cloud data solutions
• Solid analytical and communication skills
Leverage your data engineering expertise to impact strategic initiatives in the Capital Markets sector.
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📌 Senior Data Engineer - Python & PySpark (Toronto)
🏢 United States Digital Space
📍 Toronto