AWS Data Engineer

Insight Global; Toronto; Vor Ort; CAD 76.000 - 90.000; Vollzeit

Zusammenfassung

Insight Global in Toronto is seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines and migrating workloads to AWS. The role emphasizes Python and SQL development and close collaboration with business stakeholders.

Experience with ML/MLOps is a plus, particularly in production environments, and the candidate should thrive in a fast-paced enterprise setting. This position offers competitive hourly compensation and opportunities across commercial

Qualifikationen

• 3+ years of Data Engineering experience.
• Hands-on experience designing and migrating data pipelines.
• Proven experience migrating data/workloads from on-premises to AWS.
• Strong AWS ecosystem experience and Python/SQL proficiency.

Aufgaben

• Design, develop, and maintain data pipelines.
• Migrate existing pipelines and workloads to AWS.
• Ingest, integrate, and transform data from multiple sources.
• Collaborate with business stakeholders to translate requirements.
• Support ML/MLOps integration into production where applicable.
• Communicate complex concepts to technical and non-technical audiences.

Kenntnisse

Data pipeline design

AWS migration

Python/SQL

Stakeholder communication

Enterprise environment

Jobbeschreibung

• 3+ years of Data Engineering experience
• Hands-on experience developing and migrating data pipelines.
• Proven experience migrating data/workloads from on-premises environments to AWS.
• Strong hands-on experience working within the AWS ecosystem.
• Experience integrating and transforming data from multiple sources.
• Strong communication and stakeholder-management skills.
• Ability to operate in a consultative capacity, working directly with the business.
• Experience working within a large enterprise environment.

Nice to Have Skills & Experience

• Banking / FS experience
• Commercial Banking

Job Description

We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.

This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be contributing to Commercial Banking's Underwriting AI enablement/automation vision

Key Responsibilities

• Design, develop, and maintain data pipelines.
• Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.
• Gather, integrate, transform, and prepare data from multiple sources.
• Use Python and SQL extensively for data development and manipulation.
• Support integration of data into existing enterprise platforms and applications.
• Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.
• Support ML/MLOps integration into production environments where applicable.
• Work within an enterprise environment supporting business-critical applications and workflows.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Pay: 55hr to 65/hr

Vacancy: New Vacancy (New Role)