NOTE: HYBRID work model, 3-days on-site in Toronto/week

Type: 9-month contract

Rate: $90-100/hr, 8 hours/day, 40 hours/week

SKILLS: 5+ years Developer, .NET, C#, SSIS, SQL, ETL, Python, GitHub Copilot, Cursor, Azure, Snowflake, migration from on-prem to Azure Cloud, refactoring

DESCRIPTION:

Seeking an experienced Cloud Data platform Engineer to modernize and implement enterprise-grade solutions supporting investment operation post-trade workflows. This role includes a combination of:

(1) Lift-and-shift of existing code base and services to Azure VMs while ensuring and maintaining end-to-end system and operational reliability

(2) Refactoring legacy on-premises systems (primarily .NET) and migrating them to scalable cloud-based infrastructure, while maintaining high standards of code quality, testing discipline, and operational reliability.

(3) The migration and/or replication of data from legacy on-prem databases (Oracle/SQL Server ) to Snowflake.

The ideal candidate works collaboratively with architects, business analysts, peer developers, DBAs, and testers, and applies AI tools responsibly to accelerate delivery and validation without compromising quality or maintainability.

RESPONSIBILITIES:

- Refactor and migrate on-premises services written in .NET and data workloads (including custom C# code and SSIS packages) to Azure cloud infrastructure (IaaS).
- Design, build, and maintain cloud-native data pipelines using Python and Airflow where needed.
- Analyze datasets in Oracle and SQL Server and prepare scripts for deployment to Snowflake, validating data migration between Oracle/SQL Server and Snowflake to ensure data integrity is maintained.




- Implement strong unit testing and quality controls to support protected refactoring.
- Contribute to validation and support, observability, and continuous platform improvement throughout the migration.
- Promote software engineering best practices including strong documentation, code reviews, and CI/CD.

REQUIREMENTS:

- 5+ years of experience in data engineering or software engineering roles.
- Previous experience in the investment or financial services industry preferred.
- Strong proficiency in Python, C# for data engineering and automation
- Solid understanding of relational databases such as Oracle and/or SQL Server
- Experience with SSIS is a strong asset.
- Hands-on experience with Apache Airflow or similar orchestration frameworks.
- Hands-on experience with Snowflake
- Working knowledge of AKS
- Exposure to data replication tools such as HVR is an asset.
- Experience working in Azure and/or AWS cloud environments.
- Proven experience migrating and refactoring on-premises systems to cloud infrastructure (IaaS).
- Knowledge of Order Management Systems such as Charles River Development (CRD) is a strong asset.
- Knowledge of Accounting Books & Records systems such as Simcorp Dimension (SCD) is a strong asset.
- Demonstrated ability to create comprehensive unit tests and maintain high code quality.
- Experience with CI/CD pipelines, infrastructure-as-code, and DevOps/DataOps practices.
- Experience with JIRA, Confluence, Git
- Strong collaboration skills with architects, business analysts, DBAs, and QA/test peers.
- Ability to work independently and manage priorities with minimal supervision.

NOTE: As part of our hiring process, we use AI-based systems to support initial applicant screening.

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📌 Azure Cloud Data Engineer (1879) (Toronto)
🏢 Direct IT Recruiting
📍 Toronto