Administrateur principal de plateformes de données chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Conception, exploitation et gouvernance de plateformes de données infonuagiques.
About the role
- Senior data engineer building large-scale trade reporting and analytics platforms at Morgan Stanley. Designing distributed data systems processing billions of daily trade events.
Responsibilities
- Design and develop scalable data engineering solutions for trade reporting, trade monitoring, and analytics platforms
- Build and maintain high-performance databases and data pipelines processing terabytes of data and tens of billions of records daily
- Develop software solutions using Python, Java, C++, Perl, or similar technologies
- Automate data processing, operational workflows, and platform management
- Build and optimize large-scale distributed data platforms using Snowflake, Databricks, SingleStore, Apache Spark, and related ecosystems
- Design data models and complex SQL solutions
- Lead performance tuning, platform migrations, database upgrades, capacity planning, and infrastructure modernization
- Improve technology stacks, system architecture, software development, data engineering, automation, observability, and operational resiliency
- Influence technical direction across multiple platforms and guide teams through technology transformations
- Support real-time and event-driven architectures using Kafka for low-latency processing and analytics
Requirements
- 6+ years of experience designing, building, and supporting large-scale data engineering platforms and data-intensive applications in distributed environments
- Experience with Python, Java, C++, Perl, or similar programming languages
- Strong focus on engineering quality, maintainability, and automation
- Understanding of relational database concepts, advanced SQL development, data modelling, performance tuning, and capacity planning
- Experience with Snowflake, Databricks, SingleStore, Apache Spark, or comparable distributed data processing ecosystems
- Experience leading complex technical initiatives and platform modernization efforts
- Ability to design and support scalable, resilient, high-performance systems processing large data volumes
- Experience with Linux-based environments, distributed systems, and event-driven architectures using Apache Kafka
- Knowledge of French and English is required
Benefits
- Attractive and comprehensive employee benefits and perks
- Opportunities for internal mobility and career development
- Hybrid work environment combining remote work and office attendance
- Equal opportunity and inclusive workplace
- Support for employees and their families throughout their work-life journey
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