Amazon Development Centre Canada ULC

Data Science, Data Engineering, north america stores

DataEngineer,WWPromotionsDataandInsights

CA$103–173k Vancouver, British Columbia, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Data Science, Data Engineering, north america stores
Problems you'll solve

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

Free ATS check

Applying for this Data Engineer, WW Promotions Data and Insights role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon Development Centre Canada ULC?

Real rants from real employees. Read before you apply.

Read Company Rants →