Data & ML Platform Engineer – Onsite in Toronto

EnStream LP; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading digital identity firm in Toronto is seeking a hands-on Data Engineer/ML Engineer to build and scale their data platform and machine learning pipelines. The role includes designing robust data processes, implementing ETL/ELT pipelines, and establishing observability for data quality. The ideal candidate has strong AWS experience, proficiency in Python and SQL, and is capable of ensuring production readiness for data workflows. Competitive salary and professional growth opportunities are offered.

Benefits

National-scale initiative contribution

Cutting-edge applications

Collaborative work environment

Qualifications

• Hands-on experience with AWS data engineering and ML tools.
• Strong knowledge of Python and SQL for pipeline development.
• Experience in implementing observability for production services.

Responsibilities

• Design and implement data platform on AWS including data management.
• Build and maintain scalable ETL/ELT pipelines with data quality controls.
• Develop production-grade data pipelines for various ML workflows.

Skills

AWS experience

Python (PySpark, pandas)

SQL

Data pipeline implementation

Observability for pipelines

Tools

S3

Glue/Athena/EMR

Redshift

SageMaker

Job description

A leading digital identity firm in Toronto is seeking a hands-on Data Engineer/ML Engineer to build and scale their data platform and machine learning pipelines. The role includes designing robust data processes, implementing ETL/ELT pipelines, and establishing observability for data quality. The ideal candidate has strong AWS experience, proficiency in Python and SQL, and is capable of ensuring production readiness for data workflows. Competitive salary and professional growth opportunities are offered.