Lead Data Integration Specialist

Company: CGIC 
Department: Business Intelligence
Employment Type: Regular Full-Time
Work Model: Hybrid 
Language: Only English is required
Additional Information: This/these role(s) is/are currently vacant for the Client Analytics Modernization Team.

The Opportunity:

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That's why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

Our Business Intelligence team empowers decision making using leading edge science and analytics. We strive to deliver a single version of truth, by providing our business partners with access to comprehensive data and valuable insights to help our organization achieve operational excellence.

As the Lead Data Integration Specialist, you will lead various initiatives by engineering data solutions for analytics purposes while also supporting the team through coaching using insurance data and advanced programming tools. You will be responsible for providing business value through the creation; maintenance; implementation of back-end data solutions (ie. Source System Data Store & Business Data Store) through the full software development lifecycle and effectively communicate said value to a business audience.  

Technologies you have experience with:

• SQL
• pySpark
• GitHub
• Spark
• Terraform
• Azure

How you will create impact:

• Leading and guiding the technical aspects of the Client Analytics Modernization Team.
• Leading the development of data solutions, ensuring proper data quality and its monitoring, and proper integration aligned with the medallion architecture.
• Improving the pipeline with the AMTB team, integrating reconciliation across the various assets in this vertical.
• Designing the future of Float to significantly improve month-end actuarial analyses.
• Building physical data models and schemas from conceptual and business data models and requirements.
• Leading the design of analytic solutions, working with architects and solution designers and taking responsibility for the work of junior resources.
• Defining and promoting designs for analytic solutions, considering scalability, automation, security, long-term maintainability and performance.
• Working with BI Architects on data projects involving complex problems or high-level business objectives and leading the design of data engineering solutions, ensuring the outcomes of the projects meet the business objectives.
• Defining and promoting design principles based on the solution (ex: REST API) and best practice in terms of data handling (ex: security, governance), the SDLC (ex: unit testing), production code standards and meeting SLAs (ex: low latency responses).

How you will succeed:

• You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
• You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
• You have strong communication skills to clearly convey messages and explore diverse points of view.
• You build trusting relationships and provide guidance to support the development of colleagues. 

To join our team:

• You have 10 years of experience in Data Engineering/Integration or other related field. 
• 3+ years of experience with distributed computing (ex. Spark) and infrastructure as code (ex. Terraform)
• You have a post secondary degree in Computer Science or a related field.
• You have experience leading others to solve complex problems using analytical thinking, tools and judgment to identify innovative solutions.  
• You have a strong understanding of the insurance industry and have experience working with Policy Center data.
• You have excellent knowledge and understanding of data analysis, programing, modeling techniques, data warehouse and data management, research, architecture and design.
• Experience with following technologies and environments is required: SQL, Python, Synapse, Databricks and Azure Data Factory. 
• Experience with following technology is an asset: MicroStrategy. 

What you need to know:

• You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.

What's in it for you?

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

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