Cloud Data Engineer

This is a remote position.

• Mondays to Fridays, 9:00 am to 6:00 pm, Montreal, QC, Canada (Eastern time), with an hour unpaid break

• Data Engineering & Development
• Design, develop, and maintain ETL/ELT pipelines across AWS, Azure, and Google Cloud.
• Build and optimize data lakes and data warehouses using Databricks and Snowflake.
• Develop reusable, scalable, and reliable data processing solutions.

• Cloud Platform Work
• Implement and support cloud-native data solutions on AWS (Redshift, Glue, S3, Lambda), Azure (Data Factory, Synapse, Fabric), and Google Cloud (BigQuery, Dataflow, GCS).
• Ensure cloud deployments follow best practices for performance, security, and cost efficiency.

• Analytics & BI
• Collaborate with BI developers and business teams to deliver Power BI dashboards and self-service analytics.
• Support data modeling and semantic layers to enable business insights.

• Collaboration & Delivery
• Work with project managers, architects, and client stakeholders to translate business requirements into technical solutions.
• Participate in agile development cycles, version control, and CI/CD processes.
• Document processes, standards, and technical decisions.

Requirements

• 3–6 years of professional experience as a Data Engineer / Developer.
• Strong programming skills in Python and SQL (performance tuning, stored procedures, query optimization).
• Hands-on experience with Databricks (PySpark, Delta Lake, MLflow) and/or Snowflake (warehouses, streams/tasks, Snowpipe).
• Cloud experience with at least one major provider (AWS, Azure, or GCP) and familiarity with cross-cloud concepts.
• Experience designing and building ETL/ELT pipelines and managing structured/unstructured datasets.
• Good knowledge of data modeling, warehouse design, and performance optimization.
• Practical experience with Power BI or other BI tools.

• Front-end development (React, Angular, or Vue) and back-end development (Node.js, Django, or similar).
• Shopify development experience (custom apps, theme modifications, API integrations).
• Odoo ERP experience (customization, integration, module development) or willingness to learn Odoo.
• Knowledge of DevOps practices: Git, CI/CD, Terraform, or similar.
• Familiarity with modern data architectures (Data Mesh, Lakehouse, Fabric).
• Exposure to big data tools: Kafka, Airflow, or dbt.
• Strong problem-solving and communication skills.

Benefits

Independent Contractor Perks:

• HMO coverage for eligible locations
• Permanent work from home
• Immediate hiring
• Steady freelance job

Please note that since this is a permanent work-from-home position and an “Independent Contractor” arrangement, the candidates must have their own computer and internet connection. They will handle their benefits and taxes. The professional fees are at hourly rates, and the rate depends on your performance in the application process.