Shape the future of data technologies with Morgan Stanley as a Senior Data Engineering Specialist. Leverage your expertise in Python and SQL to enhance trade reporting and analytics platforms in a hybrid work environment. This critical senior role focuses on developing scalable data engineering solutions for analytics and trade monitoring.

You will design high-performance databases and build pipelines capable of processing terabytes of data daily. Make an impact by guiding teams through complex technological transformations in distributed environments using cutting-edge technologies like Snowflake and Apache Spark. Key Responsibilities:

- Design scalable data solutions for trade reporting
- Develop high-performance database systems
- Optimize large-scale distributed platforms
- Lead technical initiatives for modernization
- Support real-time event-driven architectures

Requirements:

- 6+ years in data engineering platforms
- Proficient in Python, Java, C++, Perl
- Expertise in SQL development and data modeling
- Experience with tools like Snowflake and Databricks
- Knowledge of Linux and event-driven architectures

Bring your data engineering skills to Morgan Stanley and influence cutting-edge solutions.

📌 Data Engineering Specialist at Morgan Stanley (Montreal)
🏢 860 Morgan Stanley Svcs Canada
📍 Montreal