Data Migration Specialist

About the job
Migration Specialist (Snowflake, Python, AKS)

Location: Toronto, ON

Contract: 12 months

In-office requirement: 3 days per week

Project Overview:

Looking for an experienced Data Platform Migration Specialist to support the modernization and migration of investment and enterprise data platforms from on-premises environments to Azure and Snowflake. The successful candidate will play a key role in designing, implementing, and optimizing cloud-based data solutions, leveraging hands-on expertise in Snowflake, Azure Kubernetes Service (AKS), Python, and SQL.

This role requires experience within financial services or capital markets environments, with a strong understanding of enterprise data ecosystems, data engineering best practices, and cloud transformation initiatives. The ideal candidate will demonstrate a proactive, results-driven approach, strong communication skills, and a high degree of ownership, consistently taking initiative to solve problems and drive work forward in a collaborative environment.

What you’ll need

Undergraduate or graduate degree in a quantitative discipline such as Engineering or Computer Science.
Sound knowledge of information systems theories, concepts, methods, and techniques.
Minimum 4 years software design/development experience
Financial industry experience is nice to have.
Communicate and interact effectively with systems professionals, as well as Capital Markets business users with minimal background in information technology.
Excellent organizational, analytical and problem-solving skills.
Strong expertise with SQL and Python is a must.
Experience with C# is nice to have.

Experience with the following technologies:

Databases and Data engineering: Snowflake, SQL Server, Oracle, Stored Procedures.
Containers: Kubernetes, Docker
Cloud Technologies: Azure, AKS
DevOps/Agile: Git, Jenkins
Web Development: experience with common web development frameworks React, Flask, FastAPI, Django is a nice to have

Experience migrating Data and Data Engineering assets to cloud platforms (ex. migrate data/databases and stored procedures to Snowflake, migrate Python analytic scripts to Azure AKS or equivalent Cloud platform).
Experience building data analytics and data engineering solutions, ex Data pipelines and ETL processes is nice to have.
Experience migrating web applications to cloud platforms (e.g., migrating React/Django web applications to Azure/AKS) is a nice-to-have.
Experience building data analytics and data engineering solutions, ex. Data pipelines and ETL processes is nice to have.
Experience migrating web applications to cloud platforms (ex. migrate React/Django web applications to Azure/AKS) is a nice to have.
Experience with the following technologies is nice to have:
Databases and Data engineering: Airflow/Astronomer, DBT, SSIS
Reporting: PowerBI
Experience with common financial data providers is an asset (ex. Bloomberg, Refinitiv, S&P Xpressfeed).

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

Thank you for your interest in your next great opportunity with Bevertec

Only those selected for an interview will be contacted, Bevertec is committed to Employment Equity and encourages applications from all qualified candidates. In accordance with the Accessibility for Ontarians

Requirements added by the job poster

• 3+ years of work experience with Snowflake

• 5+ years of work experience with Python (Programming Language)

• 4+ years of work experience with Azure Kubernetes Service (AKS)