Data Scientist I — Cloud & ML Pipelines | Flexible Vacation

Groupe Dynamite; Mount Royal; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Performance bonuses

RRSP with employer matching

Flexible group insurance

Employee discount

Private sample sales

Flexible vacation policy

Job summary

Groupe Dynamite is seeking a skilled cloud/data engineer to drive data models, pipelines, and GenAI initiatives in a fast-paced, self-managed team. You will contribute to demand forecasting, recommendation engines, and GenAI solutions while working across AWS, GCP, and Snowflake.

You will collaborate with data scientists and software engineers, design scalable data architectures, and ship production-grade data processing in a distributed cloud environment.

Qualifications

• Degree in computer science, data science, or related field.
• 2+ years in a similar cloud/data role.
• Proficient in Python/PySpark and SQL.
• Experience with RDBMS and NoSQL.
• Experience building data pipelines in distributed/cloud environments.
• Knowledge of ML, MLOps, and model evaluation.
• Experience with AWS Lambda, Glue, and GCP cloud functions.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Architect, implement, and deploy data models and large-scale pipelines.
• Collaborate with data scientists and engineers to tackle business challenges using structured, semi-structured, and unstructured data.
• Write optimized code to advance cloud data capabilities.
• Implement solutions using cloud technology such as AWS, GCP and Snowflake.

Skills

Python programming

Data analysis

Problem solving

Team collaboration

Education

Bachelor's degree in CS/DS or related field

Tools

Python

PySpark

AWS

GCP

Snowflake

Lambda

Glue

SQL

NoSQL

Job description

Groupe Dynamite is seeking a skilled cloud/data engineer to drive data models, pipelines, and GenAI initiatives in a fast-paced, self-managed team. You will contribute to demand forecasting, recommendation engines, and GenAI solutions while working across AWS, GCP, and Snowflake.

You will collaborate with data scientists and software engineers, design scalable data architectures, and ship production-grade data processing in a distributed cloud environment.