Data Engineer, Forecasting Core Data Engineering

Amazon; Toronto; On-site; CAD 103,000 - 173,000; Full time

Job summary

A leading technology company located in Toronto is seeking a Data Engineer to join its Forecasting team. This role involves building scalable data transformation pipelines, maintaining data quality for machine learning models, and developing high-scalable ETLs. Ideal candidates will have 3+ years of experience in data engineering, knowledge of SQL, and a Bachelor's degree. The compensation for this position ranges from 103,300.00 to 172,600.00 CAD annually, based on experience and qualifications.

Qualifications

• 3+ years of data engineering experience.
• Knowledge of distributed systems as it pertains to data storage and computing.
• Experience with SQL.

Responsibilities

• Create scalable data solutions using AWS and/or Amazon internal tools.
• Create and maintain business logic for data transformation and ingestion pipelines.
• Investigate and analyze data to understand the impact of changes on downstream customers’ use cases.

Skills

Data engineering

SQL

Data transformation

AWS

Education

Bachelor’s degree

Master’s degree

Job description

Data Engineer, Forecasting Core Data Engineering

Amazon Forecasting team is looking for a Data Engineer to join the team. We are pioneers in the fields of Amazon demand analysis and forecasting. Forecasting data engineers build scalable data transformation pipelines to ingest data from different data sources and provide big data sources for machine learning models to predict Amazon demand worldwide. If you want to learn how to leverage technology to predict the future, this is the team for you.

As a member of the Demand Forecasting team, you’ll play a key role in solving one of the world’s most complex technical challenges in data engineering. You will utilize a large‑scale compute platform to build big datasets used in distributed systems for machine learning and statistical analysis. Your responsibilities include building and maintaining big data sources to prepare data for machine learning models, data scientists, business intelligence engineers, and working with software engineers to achieve high‑quality data ingestion and transformation solutions.

Key Responsibilities

• Create scalable data solutions using AWS and/or Amazon internal tools.
• Create and maintain business logic for data transformation and ingestion pipelines.
• Create and maintain datasets in Amazon data lake and internal data management systems using S3/Glue.
• Investigate and analyze data to understand the impact of changes on downstream customers’ use cases and build transformation logic to ingest data for forecasting analysis.
• Provide quality data for Amazon’s data consumers.
• Design and develop high‑scalable ETLs with EMR, Glue ETL or Redshift.

Day in the Life

We not only provide data to machine learning models but also to our direct customers in BI and Data Science. We help them access the data they need for data analysis, addressing data quality issues and resolving data requirements for experiments, training, back‑testing models and generating forecasts on a regular basis.

Basic Qualifications

• 3+ years of data engineering experience.
• Bachelor’s degree.
• Knowledge of distributed systems as it pertains to data storage and computing.
• Experience with SQL.

Preferred Qualifications

• Master’s degree.
• 3+ years of developing and operating large‑scale data structures for business intelligence analytics using OLAP technologies.

Compensation

CAN, ON, Toronto – 103,300.00 – 172,600.00 CAD annually. Compensation is based on experience, qualifications, and location and may include sign‑on payments and restricted stock units.

EEO Statement

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.