Azure Data Migration Engineer Contract (1775)

Direct IT Recruiting Inc.

Toronto

Hybrid

CAD 80,000 - 100,000

Full time

14 days+

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Job summary

A technology recruiting firm in Toronto is seeking a Business Operations Manager for a 12-month contract. The role involves supporting the migration of Capital Market Analytics assets to cloud platforms, working within a dynamic team. Candidates should have a strong background in software development, data engineering, and experience in the financial sector. The position offers a hybrid work model and emphasizes collaborative improvement in cloud technology adaptation.

Qualifications

5+ years software design/development experience with 3+ years as a data engineer, preferably in finance.
Excellent organizational, analytical, and problem-solving skills.
Experience migrating data and data engineering assets to cloud platforms.

Responsibilities

Support migration of the Capital Market Analytics team’s assets to cloud platforms.
Maintain and improve software solutions for systematic investment processes.
Contribute to the team’s continuous improvement process.

Skills

Cloud Data Migration

Snowflake

Azure AKS

Python

SQL

Education

Undergraduate or graduate degree in Engineering or Computer Science

Tools

Git

Jenkins

Jira

Airflow/Astronomer

Job description

Business Operations Manager at Direct IT Recruiting Inc., WBE Canada Certified

NOTE: Hybrid work model, 3 days/week in Toronto, Ontario office.

TYPE: 12-month contract

SKILLS: 5+ Cloud Data Migration Engineer, Snowflake, Azure AKS, Python, Flask, FastAPI, Django, SQL, SSIS, Oracle, Airflow, SQL, SSIS, DBT (Data Build Tool), Jenkins, ETL, Bloomberg, S&P, TDD, Copilot, ChatGPT, 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 the team’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.
5+ years software design/development experience with 3+ 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.
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.
To Apply: Completion of the CSC Canadian Securities Course and/or CFA candidacy is an asset.