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 productive 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.

📌 Senior Data Engineer Python & Pyspark Toronto
🏢 United States Digital Space
📍 Toronto