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 the 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 large‑scale compute platform to build big datasets used in distributed systems for machine learning and statistical analysis. Our Data Engineer needs to be able to gather and understand data requirements, build and maintain big data sources to prepare data for machine learning models, data scientists, business intelligent engineers, and work with software engineers to achieve high quality data ingestion and transformation solutions.

You need a passion for solving complex problems, and enjoy the challenge of operating complex systems under extreme loads.

• 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.
• Data investigation and analysis to understand the impact of changes on downstream customers' use cases and build transformation logic to ingest data for Forecasting data analysis.
• Provide quality data for Amazon downstream data consumers.

• 3+ years of data engineering experience.
• Bachelor's degree (Master's desired).
• Knowledge of distributed systems as it pertains to data storage and computing.
• Experience with SQL (mandatory) and scripting languages.
• 3+ years of developing and operating large‑scale data structures for business intelligence analytics using OLAP technologies.
• Knowledge of big data architecture and design, ability to design and develop high‑scalable ETLs with EMR, Glue ETL, or Redshift.

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 (Use the "Apply for this Job" box below). for more information.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well‑being.

We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

Location:

Canada, Ontario, Toronto –  –  CAD annually