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Technical Lead

Toronto, Ontario  - Permanent

Job Description

What is the opportunity?
As Technical lead in Fraud Technology your will required to architect, design, develop and participate in activities related to the planning, design, delivery and successful implementation of emerging technologies solutions for Corporate Systems and our diversified portfolio of business applications. The role is to be the key that leads the technical delivery of product into production for our client and develop POC’s with emerging and key technologies comprising of (but not limited to) AI/ML, Stream Analytics, ElasticSearch, Logstash and Kibana, Big Data technologies etc.

What will you do?
Provide direction, oversight and expertise to the IT development team, business team and business stakeholders
Design, develop, test, deploy and support pilot implementations, new solutions or enhancements to existing solutions working in an agile environment with the support, if required, of a self-managed, cross functional team
Forecast architecture needs as well as participate in architecture design planning meetings to ensure alignment with our enterprise architecture practices and processes to produce sustainable solutions
Anticipate and familiarize self constantly with emerging technologies which potentially impact Corporate Systems application portfolio and offerings
Adopt industry leading practices related to innovation architecture and incorporate capabilities originating from within and without RBC to existing and or new solutions
Evaluate, prototype and present Proof of Concepts or product demo’s, using the best technologies, to IT and business partners

Must Have Skills:

8-10 years of overall experience in Information Technology
3+ years using languages: C#, Java, Python, Scala, R, etc.
3+ years using Big Data technologies for example: Spark, Flink, HBASE, Nifi, Kafka, etc.
2-3 years using ElasticSearch, Kibana
Experience with REST API design best practices, Micro Services/Service Oriented Application Development.
Experience with relational databases

Nice to Have Skills:

Strong understanding of Complex Event Processing (CEP).
Strong understanding of Streaming Analytics frameworks and reference Architectures.
Excellent understanding of technology concepts of the future
Graduate degree in Engineering/Computer Science

Starting: ASAP
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