Data Integration Specialist

Co-operators; Guelph; Hybrid; CAD 70,000 - 116,000; Full time

Job summary

CGIC in Ontario seeks a Data Integration Specialist to autonomously engineer data solutions for analytics, including data models, pipelines and APIs across the full SDLC.

You will work with SQL, Azure Synapse, Databricks, Python, Power BI and ADLS, ensuring data quality and production-ready code within a hybrid work environment.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Experience solving standard problems by analyzing possible solutions with judgment and precedent.
• Strong knowledge of data analysis, modeling techniques, data warehouse and data management.

Responsibilities

• Autonomously execute data extraction, cleaning, reconciliation, and preparation for analytics solutions.
• Build data models, data pipelines, APIs and other data solutions.
• Develop analytic solutions to support reporting, KPIs, and predictive models within BI.

Skills

Data engineering

Data integration

SQL

Git

Azure Synapse

Python

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Synapse

SQL Server

Azure DevOps

GitHub

Databricks

Power BI

ADLS

Job description

Company: CGIC

Department: BI - PCIS

Employment Type: Regular Full-Time

Work Model: Hybrid (2 days in office)

Language: English is required, French is an asset.

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.

As a Data Integration Specialist, you will autonomously contribute to various initiatives by engineering data solutions for analytics purposes. 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.

How You Will Create Impact

• Autonomously execute the appropriate data extraction, cleaning, reconciliation, and preparation processes required for the development of analytics solutions & understand the data requirements of a solution and complete simple analysis to assess data characteristics.
• Work with data engineering tools: general purpose languages used in data engineering or generally in BI and related framework or interfaces, data querying and data handling and DevOps platforms.
• Autonomously contribute to assessing data quality and building automated controls.
• Build data solutions (data models, data pipelines, APIs and more).
• Develop analytic solutions to solve business problems by understanding the role of data in reporting, metrics, predictive models, and other analytic solutions within the BI Environment.
• Autonomously deliver production ready code by assessing the data solution and follow best practices and standards (no technical debt, automation, scalable solution, incremental load, etc.) with the support of senior resources.
• Apply design principles based on the solution 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).
• Understand the insurance domain (metrics, KPI, key insurance concept), business objectives and how your own tasks contribute to meeting the business objectives.

To Join Our Team

• You have 3-5 years of experience in Data Engineering/Integration or other relevant field.
• You have a Bachelor’s degree in Computer Science or other relevant field.
• You have experience solving standard problems by analyzing possible solutions by using our experience, judgment and precedent & challenging status quo.
• You have good knowledge and understanding of data analysis, programing, modeling techniques, data warehouse and data management, research, architecture and design.
• Experience with following technologies is required: SQL and Relational databases (Azure Synapse / SQL Server), Git (Azure DevOps and GitHub), Microsoft Office (Word, Excel).
• Experience with following technologies is an asset: Databricks, Python, ADLS, Power BI, Feature Store, R (Shiny app).

How You Will Succeed

• You influence change and are committed to continuous improvement, in order to exceed client expectations.
• You leverage critical thinking skills to identify problems and proactively propose solutions.
• Your strong communication skills allow you to clearly convey messages.
• You're an effective team player who shares knowledge to support our peers.

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.

Salary information

Expected salary $69,660.00 to $116,100.00 CAD

Salary placement

The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to: local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.

Incentive/Variable pay

Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and/or business performance, or other business metrics.