Hiring Manager : Ionut Calacean
Workplace : Montreal (2020, Blvd. Robert-Bourassa) / Toronto (700 University)
About us :
Data is the most important asset in today’s competitive world. We are the Data and Analytics department of the largest P&C insurer in Canada.
Our mission is : Accelerate our data advantage by bringing to user analytical data ready to be consumed, at a proper level of trust and security .
Our team is using modern concepts, tools and technologies for data ingestion, acquisition and data consumption and work with Agile framework.
We are structured into small, highly productive squads and working very close with the Data Lab team composed of Actuaries and Data Scientists.
You dream of exciting challenges? Join our team as Data Engineer Tech Lead and contribute to the planning and the development of data pipelines for various machine learning projects.
You will :
Understand business requirements, translate them into technical requirements and render those as low-level architectural models that will operate at large scale and high performance and advise on how to run these architectural models.
Provide technical leadership on Data Engineering technologies and development methods for the development teams by designing solutions and blueprints for large projects and guiding them on their day to day work.
Take leadership in defining the Data Engineering best practices regarding the code standardization, branching strategy, pipeline code optimization, cloud cost optimization, ingestion patterns, etc.
Collaborate with Solution and Enterprise Architects to address unique business problems, provide project estimates and design large-scale batch and real-time scalable data pipelines with complex data transformations, utilizing appropriate big data tools and technologies.
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
Perform POCs on tools and provide recommendations to solve specific business needs.
You are :
Motivated and autonomous, you love learning and applying new technologies to solve complex problems.
Eager to understand how the business works and how your work impacts the business.
Comfortable working in complex environments and multidisciplinary teams.
Fast learner, versatile and a good team player.
Excellent communicator with good analytical skills.
You have :
Bachelor’s degree in Computer Science, Software Engineering or equivalent
Hands-on experience with leading commercial Cloud platforms like AWS and / or Azure
Hands-on experience with Apache Spark (Databricks or similar) and Kafka
Hands-on experience with Snowflake or similar cloud storage technologies
Strong experience with relational SQL and NoSQL databases like PostgreSQL, Oracle, Cassandra, Mongo DB
Strong experience with CI / CD pipeline implementation in a DataOps environment
Strong understanding of data analytics and visualization
Experience with ElasticSearch and Kibana is a big plus
Experience with Agile development methodologies
Experience supporting and working with cross-functional teams in a dynamic environment.
Strong presentation, facilitation, verbal and written communication skills, including interpersonal skill
Here are a few reasons why others have joined our team :
An award-winning, inspiring workplace that supports its people and recognizes great work
Stimulating, challenging projects and development opportunities to help you grow your skills and career
A comprehensive financial rewards program that recognizes your success
An extensive, flexible benefits package
An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
A $350 annual wellness account that promotes an active lifestyle