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‑prospect 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 for more information. #J-18808-Ljbffr

📌 Data Engineer, Forecasting Core Data Engineering - C$103,300 - C$172,600 A Year (Toronto)
🏢 Amazon
📍 Toronto