Data Solutions Developer Intermediate

INTELLISWIFT INC; Toronto; Hybrid; CAD 60,000 - 80,000; Full time

Job summary

A technology solutions company located in Toronto is looking for a Senior Data Engineer to design and develop data systems and pipelines. The ideal candidate will have over 5 years of experience in data engineering with strong skills in Python and SQL. This hybrid position involves collaboration with analysts and stakeholders to enhance data-driven decision-making and modernize data infrastructures. The firm offers a competitive pay rate between $50/hr. and $55/hr.

Qualifications

• 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.

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.

Skills

Data Engineering

ETL development

Python

SQL

Data Modeling

Data Warehousing

AWS tools

Problem-solving

Communication

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS SageMaker

WebFOCUS

SAS

Job description

Overview

Pay rate range - $50/hr. to $55/hr.

Hybrid

Job Description

Role Description

As a Senior Data Engineer, you will design, develop, and optimize data systems and pipelines to support CLIENT GAM's 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.

Qualifications

• 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

Any specific education/certifications: Bachelor\'s degree in Computer Science, Engineering, or a related field.

Disqualifiers

• Must have 3 to 5 yrs with Python & SQL