22 days ago
Vancouver, CanadaMid Level
Responsibilities
- Build and maintain stable, high-throughput big-data pipelines for machine-learning applications and terabyte-sized datasets.
- Advance data engineering infrastructure using AWS Glue, Spark, Amazon EMR, and EMR Serverless.
- Design and implement data quality monitoring, alerting, and anomaly detection across production pipelines.
- Collaborate with scientists and analysts to create data models and analysis-ready datasets.
- Use AWS technologies to process large-scale data and support real-time access and orchestration across systems.
- Evaluate and integrate generative AI tools to automate data workflows and improve team productivity.
- Participate in code reviews, design discussions, and team planning with technical and business stakeholders.
Requirements
- At least 3 years of data engineering experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Experience as a data engineer or in a related specialty, with a track record of manipulating, processing, and extracting value from large datasets.
- Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Preferred experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
Benefits
- Benefits include health insurance covering medical, dental, vision, prescription, basic life, and AD&D insurance.
- Benefits include a Registered Retirement Savings Plan, Deferred Profit Sharing Plan, paid time off, and other health and well-being resources.
- The listed base salary is in Canadian dollars and the position is located in Vancouver, British Columbia, Canada.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.