Home Jobs Data Engineer, Forecasting Core Data Engineering
Back to Jobs

Data Engineer, Forecasting Core Data Engineering - Job Opportunity at Amazon Development Centre Canada ULC

Toronto, Canada
Full-time
Mid-level
Posted: March 12, 2025
On-site
CAD 120,000 - 160,000 per year based on Toronto market rates for mid-level data engineers at major tech companies

Benefits

Comprehensive AWS technology exposure and training
Career development in cutting-edge forecasting technologies
Collaboration with world-class data science teams
Work on globally impactful projects
Access to advanced distributed computing resources

Key Responsibilities

Design and implement scalable ETL pipelines for global demand forecasting
Architect data transformation solutions using AWS services (EMR, Glue, Redshift)
Lead data quality initiatives for machine learning model inputs
Drive technical decisions for data infrastructure improvements
Collaborate with cross-functional teams to optimize data processing workflows
Maintain and optimize large-scale distributed data systems

Requirements

Education

Bachelor's degree

Experience

3+ years of data engineering experience

Required Skills

SQL Knowledge of distributed systems ETL pipeline development AWS services (EMR, S3, Glue) Big data architecture Data transformation Schema design Metadata management
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Increasing demand for real-time forecasting capabilities in retail and e-commerce sectors Growing emphasis on distributed computing solutions for large-scale data processing Rising importance of machine learning-ready data pipeline architectures Shift towards cloud-native data engineering solutions

Role Significance

Typically part of a 5-8 person core data engineering team within a larger forecasting organization
Mid to senior-level individual contributor role with significant technical ownership and decision-making authority

Key Projects

Global demand forecasting pipeline development Data lake architecture optimization Machine learning data preparation systems Cross-regional data integration initiatives

Success Factors

Strong understanding of distributed systems and data architecture Ability to balance technical depth with business impact Excellence in cross-functional communication Experience with large-scale data transformation Proactive problem-solving approach

Market Demand

Very high demand with significant growth trajectory due to increasing adoption of ML-driven forecasting systems across industries

Important Skills

Critical Skills

Distributed systems expertise for handling global-scale data processing Advanced SQL skills for complex data transformation ETL pipeline development experience for ensuring reliable data flow Big data architecture knowledge for scalable solutions

Beneficial Skills

Stream processing technologies (Kafka, Kinesis) Machine learning engineering practices Cloud infrastructure automation Data governance and compliance understanding

Unique Aspects

Direct impact on Amazon's global supply chain efficiency
Exposure to cutting-edge forecasting technologies
Opportunity to work with massive-scale data systems
Access to proprietary Amazon forecasting tools and methodologies

Career Growth

2-3 years typical progression to senior role with demonstrated impact

Potential Next Roles

Senior Data Engineer Data Engineering Team Lead Data Architecture Specialist Technical Product Manager - Data Platform

Company Overview

Amazon Development Centre Canada ULC

Amazon's forecasting team represents a critical component of the company's global operations, directly impacting inventory management and supply chain efficiency

Industry leader in applying advanced analytics and machine learning to supply chain optimization
Strategic Toronto office focusing on core technical infrastructure development
Fast-paced, innovation-focused environment with emphasis on operational excellence and scalable solutions
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.