1 month ago
Vancouver, CanadaMid Level
Responsibilities
- Build and operate robust, scalable data pipelines using AWS and internal Amazon tools.
- Collaborate with business, science, product, program, and engineering teams to translate data needs into technical solutions.
- Automate infrastructure and create reliable deployment processes.
- Ensure data quality, accuracy, governance, and compliance.
- Implement access controls, encryption, auditing, and other data security measures.
- Optimize data systems and develop modern solutions for growing data volumes.
- Create data products that support analytics, experimentation, and business decision-making.
Requirements
- At least 3 years of data engineering experience.
- At least 1 year of experience developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
- At least 1 year of experience with OLAP technologies for large-scale business intelligence analytics data structures.
- At least 1 year of experience with data modeling for large-scale business intelligence analytics data structures.
- At least 1 year of experience with SQL for large-scale business intelligence analytics data structures.
- At least 1 year of experience with Oracle for large-scale business intelligence analytics data structures.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Preferred experience with 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
- Health insurance including medical, dental, vision, prescription, basic life, and AD&D insurance.
- Registered Retirement Savings Plan (RRSP).
- Deferred Profit Sharing Plan (DPSP).
- Paid time off and other health and well-being resources.
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.