Elevate your career as a Senior Developer specializing in Python and PySpark with a leading firm in downtown Toronto. This hybrid role focuses on building scalable data engineering solutions for Capital Markets.
Join a dynamic team with a strong emphasis on enterprise data engineering. In this senior role, you will develop, optimize, and maintain high-performance data pipelines, leveraging Azure technologies. Collaborate with stakeholders and engineers to address complex data challenges while ensuring compliance and best practices across various business functions.
Key Responsibilities:
• Design and optimize scalable data engineering solutions
• Build enterprise-grade ETL/ELT pipelines for large data processing
• Develop high-performance solutions using Apache Spark
• Create reliable data ingestion frameworks for diverse sources
• Implement data quality controls and best practices
Requirements:
• Bachelor's in Computer Science or related field
• Over 6 years of software development experience
• 4+ years in Python and PySpark development
• Familiarity with cloud-based data platforms
• Strong analytical and communication skills
Utilize your skills in data engineering and programming to drive impactful solutions in the financial services sector.
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