Cloud Migration Engineer Contract - HYBRID (1745) $100 / hr

freelance.ca; Toronto; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

A consulting firm is seeking a Cloud Migration Engineer to support the migration of Capital Market Analytics assets to Snowflake and Azure. This role involves collaborating with software developers and managing data engineering solutions. The ideal candidate has over 8 years of experience in the financial industry and expertise in SQL, Python, and cloud technologies. A hybrid work model is offered, with 3 days a week in the Toronto office.

Qualifications

• 8+ years software design/development experience, preferably in finance.
• Expertise in Python and SQL.
• Experience with cloud technologies (e.g., Azure, Snowflake).

Responsibilities

• Assist with the migration of team’s assets to Cloud platforms.
• Maintain and improve software solutions that run the investment process.
• Participate in new technology investigation for adoption.

Skills

Cloud Migration Engineer

Snowflake

Azure

Python

SQL

SSIS

Oracle

Airflow

DBT

Jenkins

Education

Undergraduate or graduate degree in a quantitative discipline

Tools

Azure

Git

Jira

Job description

NOTE : Hybrid work model, 3 days / week in Toronto, Ontario office. TYPE : 6-month contract with strong possibility of extension SKILLS : 5-8+ Cloud Migration Engineer, Snowflake, Azure, AKS, Python, SQL, SSIS, Oracle, Airflow, Astronomer, T-SQL, SSIS, DBT ( Data Build Tool), OneTick, Jenkins, ETL, Bloomberg, S&P, TDD, CSC, CFA, Agile INDUSTRY : Capital Markets, Investments, Bank DESCRIPTION : Responsible for supporting the migration of the Capital Market Analytics team’s assets to Snowflake and Azure cloud enterprise platforms.You will work alongside the software developers and investment professionals on the team in support of their migration to the Cloud. You will report to a Senior Manager, Solution & Quality Engineering.Develop a Data and Cloud migration framework that accelerates the migration of theteam’s assets to Snowflake Data and Azure Cloud platforms

• Assist with the migration of the team’s assets to Cloud platforms
• Maintain and improve the team's software solutions and infrastructure which runs all aspects of the team's systematic investment process including trading, execution and research.
• Contribute to the team’s continuous improvement process and help to develop software and data engineering best practices and standards particularly with respect to deployment and management of assets to the company’s Data and Cloud platforms
• Develop new solutions and enhance existing solutions in support of the Capital Markets investment desks that the team supports.
• Responsible for completion of an acceptable volume of work and for the communication of status of personal work plans and tasks required to design, develop, and test assigned projects. Actively participate in the team’s agile ceremonies and work planning processes.
• Responsible for maintaining currency in technological trends and directions continually upgrading personal technical and IT skills through research, education and self-motivated technology experimentation.
• Participate in new technology investigation and make recommendations for new technology adoption where appropriate.
• Other duties as assigned.

REQUIREMENTS :

Undergraduate or graduate degree in a quantitative discipline such as Engineering or Computer Science.

Sound knowledge of information systems theories, concepts, methods, and techniques.

8+ years software design / development experience with 5+ years full-time working as data engineer, preferably within the financial industry.

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.

Expertise in the following languages : Python, SQL .

Experience with the following technologies :

Database and Data engineering : Snowflake, SQL Server, Oracle , Airflow / Astronomer, Stored Procedures, SSIS, DBT . Experience with OneTick or another time series database is an asset.

Cloud Technologies : Azure, AKS .

DevOps / Agile : Git, Jenkins, Nexus, Jira .

Experience building data analytics and data engineering solutions, ex. Data pipelines and ETL processes .

Experience migrating Data and Data Engineering assets to cloud platforms (ex. migrate data / databases to Snowflake and migrate Python analytic scripts to Azure AKS).

Experience with common financial data providers is an asset (ex. Bloomberg, Refinitiv, S&P Xpressfeed ).

Experience working in an agile environment and with modern development methodologies such as TDD Test-Driven Development , Continuous Delivery and Scrum

Experience in the financial industry required. Completion of the CSC Canadian Securities Course and / or CFA candidacy is an asset.