Amazon Development Centre Canada ULC
Data Science, Data Engineering, north america stores
DataEngineer,WWPromotionsDataandInsights
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems”
Industry & Context.
Translate business requirements
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities
What You'll Do.
Design data processing systems
Build data processing systems
Operate data processing systems
Leverage expertise in Python
Develop custom data processing frameworks
Develop automation tools
Collaborate with data scientists
Collaborate with analysts
Collaborate with product managers
Optimize data pipeline performance
Optimize data pipeline reliability
Optimize data pipeline cost-efficiency
Mentor junior engineers
Share knowledge of data engineering
Stay up-to-date with big data technologies
Stay up-to-date with architectural patterns
Drive adoption of innovative solutions
How You'll Work.
Team & Collaboration
With data scientists; With analysts; With product managers
Full Job Description
Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted an
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