Senior Data Engineer Job Toronto area,Ontario Canada,IT/Tech

Job Description

Join a team transforming Security Analytics at Sun Life and contribute to a global analytics initiative focused on strengthening the security of Client data. Sun Life’s Information Security organization is enhancing its data engineering, platform, analytics, and insights capabilities through new tools and, most importantly, new talent.

As a member of the Security Analytics team, you will play a pivotal role in working closely with our partners to enable threat intelligence, internal threat identification, predictive modelling, business intelligence and deep dive analytics to understand and identify new threats and incidents to make client data safer. As Data Engineer you will join a team that leverages and is on a journey of quickly enhancing our Big Data and Cloud capabilities to enable various use cases by ensuring there is a solid data foundation in place to support data mining, strategic insight and automated capability enablement.

Given this mandate, the role requires an experienced data specialist with 5+ years of expertise in data management, a strong understanding of analytics and business data needs, and knowledge of emerging data technologies. Candidates must have relevant experience in the following areas:

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Data Management – Experience in design, development, and production support

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Data and Analytics Knowledge – Understanding of data requirements for analytics usecases

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Business, Analytics, and IT Liaison – Cross function experience

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Data Discovery – Ability to scope new data sources, understand and leverage existing ones

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Security Logs – Understanding of security-related data sources and log types

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Cloud Tools – Exp with cloud data warehouses, data pipelines, and ETL tools; AWS preferred

The successful candidate for the role will be a key player in our venture towards creating a central place for user behavior and keeping Sun Life secure from data exfiltration, malicious activities and threats as we standardize and enhance our advanced data engineering environment on AWS.

What your will do:

Maintain a large, complex data repository that provides accurate, reliable data for user behavior analytics, reporting, and insights.

Develop jobs (Glue/Lambda using Python) to parse new logs into usable data formats.

Build user data model that enables easy access to user data and behavioral insights.

Strengthen the organization’s understanding of user-level data and provide expert guidance on using it to generate actionable insights.

Manage and fulfill business data requests, ensuring alignment with Information Security priorities and stakeholder needs.

Demonstrate business value through proofs of concept (PoCs) and transition successful PoCs to production.

Collaborate within an agile team to understand objectives and develop best-in-class data solutions that deliver engaging, highly relevant experiences.

Provide expert guidance on the structure and processes needed to build a data repository, including ETL, quality assurance, and data modeling.

Serve as a data and technology expert within an agile environment, prioritizing work and managing the data platform.

Support the initial development of analytical data models, including SQL/HQL/Python/Spark/Scala code and data processes.

Develop and maintain metadata documentation.

Manage, maintain, and continuously improve data models.

Productionize and run data models, dashboards, reports, and ad hoc data requests.

Help develop data capabilities aligned with the Enterprise Analytics initiative roadmap.

Collaborate with IT and Information Security teams to improve data processes and incorporate new data as needed.

Serve as a leading information security data expert and data steward, ensuring data is interpreted and applied appropriately to…