2 hours ago
Toronto, CanadaSenior
Responsibilities
- Design, implement, and integrate tools and technologies for the Compliance, Surveillance, and Supervision domain.
- Integrate upstream bank systems with core surveillance platforms and vendor applications.
- Build scalable, maintainable data pipelines and analytics engines for batch and near-real-time processing.
- Design and build surveillance data models using capital markets and compliance domain knowledge.
- Develop, unit test, deliver, and productionize distributed systems using Java and Python.
- Work with large datasets, cloud data lakes, relational databases, and big data platforms.
- Support regulatory, compliance, audit, technology risk management, and information security obligations.
- Collaborate with technical and non-technical stakeholders and share knowledge across the team.
Requirements
- At least 3 years of related experience.
- Strong Core Java experience and some Python exposure.
- Proven ability to build, unit test, deliver, and productionize scalable distributed systems.
- Solid understanding of data storage, ETL, and modern data engineering patterns.
- Experience with Apache Spark, cloud data lakes, relational databases, Databricks, and Hadoop.
- Experience processing large datasets in batch-oriented and near-real-time environments.
- Experience integrating enterprise systems with vendor applications.
- Understanding of messaging systems and integration patterns, including Solace and Kafka.
- Familiarity with capital markets asset classes and products, AML, trade surveillance, payments surveillance, and surveillance data models.
- Preferred experience with NICE Actimize, workflow engines, and DevOps tools.
Benefits
- Toronto, Ontario work location with 37.5-hour work weeks.
- TD provides training, onboarding, regular development and performance conversations, an online learning platform, and mentoring programs.
- Benefits include health and well-being plans, savings and retirement programs, paid time off, banking benefits and discounts, career development, and recognition programs.
- TD supports workplace accommodations throughout the interview process.
Tech Stack
Categories
BackendData Engineering
