Data Engineer (ETL, Python, AWS, Banking)

Our banking client is looking for a Data Engineer (ETL, Python, AWS, Banking)

Length: 12 months contract to start with the high possibility of extension

Location: Toronto, ON (Hybrid) – 3 days in office (Tues, Wed & Thurs)

Working Hours: Monday - Friday, 9:00am - 5:00pm

Line of business: Analytics and Business Intelligence

Team culture: Collaborative

Candidate Value Proposition: Working in Asset management industry. Exposure to AWS migration (modern cloud technologies)

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ROLE OVERVIEW

As a Senior Data Engineer, you will design, develop, and optimize data systems and pipelines to support GAM’s (Global Asset Management) analytics and reporting capabilities. You will work closely with data analysts, BI engineers, and business stakeholders to ensure efficient data flow and enable data-driven decision-making.

KEY RESPONSIBILITIES:

• Design and implement scalable data pipelines and ETL processes.

• Develop and maintain data models and data warehouse infrastructure.

• Collaborate with cross-functional teams to deliver analytic solutions.

• Drive technology modernization and migration projects to modern platforms.

• Optimize performance and reliability of data systems in cloud and on-prem environments.

MUST HAVE

• 5+ years of experience in Data Engineering and ETL development.

• Strong proficiency in Python and SQL for data processing and automation.

• Solid understanding of Data Modeling, Data Warehousing, and Analytics concepts.

• Familiarity with AWS tools such as SageMaker, AWS Unified Studio, and other data services is highly desirable.

• Proven experience in tech modernization/migration projects.

• Strong problem-solving, communication, and collaboration skills.

NICE TO HAVE:

• Experience with SAS and WebFOCUS for advanced analytics and reporting.

• Exposure to machine learning workflows and data science integration using AWS SageMaker.

• Knowledge of data governance, security, and compliance in cloud environments.

• Familiarity with CI/CD pipelines for data engineering solutions.

• Hands-on experience with cloud-based data platforms (AWS preferred).

• Banking Industry

Education/Certifications: Bachelor’s degree in computer science, Engineering, or a related field.

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URGENT: Please read the job description above. If this interests you, apply to the job with your most updated resume, including your contact number and email address.

The recruiter in charge of this role is Tanvi

If you do not think you are a match for this opportunity, but know someone who is, feel free to forward this job description to them and you will be eligible for a referral bonus upon a successful hire.

Please note that this is the most up to date version of job description available at this time – During Client Interview you will receive additional information – variance may apply!

Please note: Adherence to our end client’s vaccination policy is a requirement.

Please visit the TEAMRECRUITER website to review other CAREER OPPORTUNITIES!

Job Types: Full-time, Fixed term contract

Contract length: 12 months

Pay: $63.68-$75.00 per hour

Expected hours: 37.5 per week

Work Location: Hybrid remote in Toronto, ON