Transform data engineering projects in a hybrid role as a Senior Developer focusing on Python and PySpark, located in downtown Toronto. This position emphasizes optimizing data solutions for critical Capital Markets functions. This senior role requires collaboration with business and technical teams, where you will design high-performance data pipelines and underpin essential business operations in finance and trading.

You will leverage Azure technologies to deliver scalable solutions and maintain enterprise data quality across processes. Key Responsibilities:
Develop and maintain scalable data solutions using Python and PySpark
Optimize enterprise data pipelines for productive processing
Implement effective data ingestion methods for various data sources
Foster data quality and governance best practices
Engage in architecture discussions and code reviews Requirements:
Bachelor's degree in a related discipline
At least 6 years of data engineering experience
4+ years of hands-on Python and PySpark experience
Expertise in cloud-based data architecture
Solid problem-solving and communication abilities Contribute your expertise in data engineering to enhance processes at the forefront of Capital Markets.

📌 Capital Markets Developer Python & Pyspark Toronto
🏢 United States Digital Space
📍 Toronto