Senior Data Engineering Developer

Company: CGL
Department: IT - Solution Delivery

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.
The Sr Data Engineering Developer is responsible of development and optimization of data products, ensuring the reliability and performance of ETL processes. This role requires a high level of autonomy in managing complex data pipelines, the ability to collaborate with key partners, and to support junior team members while delivering high-quality data for analysis and decision-making.
How you will create impact:
Autonomously, and through guiding junior colleagues;
Execute data extraction, cleaning, reconciliation and assess its characteristics, such as data quality
create and interpret a physical and logical data model
use data engineering tools for data querying (ex: SQL), data handling (ex: py Spark, stored procedures), data storage (ex: ADLS)
Contribute to building data solutions (data pipelines, APIs and more).
Bring data to visualization tools by implementing the semantic layer
Proactively apply performance optimizations and monitoring of data solutions, such as alerts.
Proactively apply performance optimizations and monitoring of data solutions.
Autonomously, and through guiding junior colleagues;
use Dev Ops platforms (ex: Git Hub) and manage infrastructure deployments through code (ex: Terraform)
Configure and use continuous integration and deployment (CI/CD) pipelines, and our infrastructure (ex: Databricks environments) to properly develop and deploy data solutions
promote and comply with security requirements on the platforms and environments used by our data solutions
Identify opportunities to collaborate, innovate, and make data-driven decisions, with the ultimate goal of bringing value to the business.
Partner with business and technology stakeholders to drive business value.
To join our team:
You have a degree in Computer Science, Information Systems, or related field is required. An advanced degree is an asset.
3-5 years of experience in Data-adjacent role.
3+ years of experience in data engineering with experience in building modern data platforms and data products.
3+ years of experience implementing data solutions. (Azure preferred).
Advance knowledge of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics.
Significant hands-on experience with the following Azure PaaS is an asset:
Azure Data Lake Storage (ADLS), Azure Databricks, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse, Event Hub, API Management (APIM), Azure Key Vault, Azure SQL, and Purview. Excellent project management skills with the ability to prioritize and manage multiple priorities simultaneously.
Excellent verbal and written communication skills with experience presenting to large and small audiences.
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…