Senior Data Engineer (Analytics) to support Public Markets with our client in the Investment Management Industry

Location: Toronto, ON

Hours: 37.5 - 40 Hours

Work Model: 3-4 Days/Office

Responsibilities:

· Own aspect of designing, building and maintaining a scalable and efficient cloud base data platform to meets the needs of trading analytics.

· Help implement processes and tools to monitor and improve data quality.

· Model and efficiently store financial trading data for use in analytics.

· Create procedures to ensure best practices are being met in the software development process.

· Liaise with technical and business individuals who may be internal staff or external vendors towards the completion of projects.

· Create solutions tailored to business requirements aligned with the long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development.

· Provide knowledge transfer of application support and deployment processes to team members, Operations, and Support personnel through proper documentation.

· Proactively find improvement opportunities to streamline business processes, automate manual processes where appropriate.

· Other duties as assigned.

Must Haves:

· University degree in Engineering or Computer Science.

· 8+ year of relevant experience

· Good understanding of trading, capital market, trade life cycle with an eagerness to contribute to the systems that support them.

· Strong knowledge of software development best practices and patterns.

· Strong problem-solving and debugging skills

· Strong hands-on experience in Python, AWS Cloud and Kubernetes.

· Strong working knowledge of Databases - SQL

· Expertise with data quality principles, data profiling techniques and data governance best practice

· Knowledge of technologies for Cloud development. Experience working with AWS is must.

· Passion to expand your domain knowledge both on the job and through continued education