Data Engineer

Luxoft; Toronto; On-site; CAD 120,000 - 180,000; Part time

Job summary

A leading IT consulting firm in Toronto is seeking a Data Engineer to enhance trading operations through cloud-based solutions. You will design, build, and maintain a scalable data platform, ensuring data quality and alignment with trading analytics. The ideal candidate should have over 8 years of experience, strong coding skills in Python and AWS, and a background in trading and capital markets. This is a contract position, requiring 4 days of on-site work per week.

Qualifications

• 8+ years of relevant experience.
• Strong understanding of trading and capital markets.
• Experience with data pipelines and data quality principles.
• Strong knowledge of software development best practices and patterns.
• Strong problem-solving and debugging skills.
• Hands-on experience in Python, AWS Cloud and Kubernetes.
• Strong working knowledge of Databases - SQL.
• Expertise with Data Engineering: data pipelines, data quality, data profiling, and governance.
• Knowledge of cloud development technologies; AWS experience is a must.
• Nice-to-have BI tools like Quicksight.
• Commitment to integrity, partnership and high performance.

Responsibilities

• Design and maintain a cloud-based data platform for trading analytics.
• Implement processes to monitor and improve data quality.
• Model financial trading data for analytics.
• Create procedures to ensure best practices in software development.
• Liaise with internal teams or external vendors to complete projects.
• Create solutions aligned with long-term architecture using AWS for cloud development.
• Provide knowledge transfer of deployment processes to team members and support staff.
• Proactively find ways to streamline business processes and automate where possible.
• Other duties as assigned.

Skills

Python

AWS Cloud

Kubernetes

SQL

Data Engineering

Problem-solving

Debugging

Problem solving

Education

University degree in Engineering or Computer Science

Tools

BI tools like Quicksight

Quicksight

SQL databases

Job description

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You will work as a Data Engineer in Trading Technology, Public Market Investments team, partnering with traders, investment professionals and operations staff to design and implement solutions enabling trading and post trade activities. You will be responsible for hands on development of analytical solutions covering several asset classes including equities, fixed income, derivatives, OTC and FX. Through close partnership with traders, investment professionals and operations, you will see firsthand how your software is impacting trade activities

Responsibilities:

• Own aspect of designing, building and maintaining a scalable and efficient cloud base data platform to meets the needs of trading analytics.

• Help implement processes and tools to monitor and improve data quality.

• Model and efficiently store financial trading data for use in analytics.

• Create procedures to ensure best practices are being met in the software development process.

• Liaise with technical and business individuals who may be internal staff or external vendors towards the completion of projects.

• Create solutions tailored to business requirements aligned with the long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development.

• Provide knowledge transfer of application support and deployment processes to team members, Operations, and Support personnel through proper documentation.

• Proactively find improvement opportunities to streamline business processes, automate manual processes where appropriate.

• Other duties as assigned.

• Important: This role requires 4 days of on-site presence per week

Mandatory Skills Description:

• University degree in Engineering or Computer Science.

• 8+ year of relevant experience

• Good understanding of trading, capital market, trade life cycle with an eagerness to contribute to the systems that support them.

• Strong knowledge of software development best practices and patterns.

• Strong problem-solving and debugging skills

• Strong hands-on experience in Python, AWS Cloud and Kubernetes.

• Strong working knowledge of Databases - SQL

• Expertise with Data Engineering: data pipelinea, data quality principles, data profiling techniques and data governance best practice

• Knowledge of technologies for Cloud development. Experience working with AWS is must.

• Good to have experience in BI tools like Quicksight etc.

• Passion to expand your domain knowledge both on the job and through continued education

• Commitment to our Client's guiding principles of integrity, partnership and high performance.

Languages:

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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