Job Description
WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers" trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You"ll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You"ll be developing GenAI based solutions to improve the operational and reporting efficiency.
This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer"s intentions, and support us in understanding them as we take our business to the next level.
Key job responsibilities
- SQL proficiency (Redshift, Athena, Spark SQL)
- Experience with at least one programming language (Python, Java, or Scala)
- Familiarity with distributed data processing frameworks (Spark, EMR)
- Understanding of data warehousing concepts and star/snowflake schemas
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Algorithmsunmatched
- Apache Sparkunmatched
- Business Intelligenceunmatched
- Customer/Client Researchunmatched
- Data Analysisunmatched
- Data Collectionunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Warehousingunmatched
- Electronic Medical Recordsunmatched
- Javaunmatched
- Operational Improvementunmatched
- Operational Strategyunmatched
- Performance Tuning/Optimizationunmatched
- Pricingunmatched
- Pricing Softwareunmatched
- Process Modelingunmatched
- Programming Languagesunmatched
- Python Programming/Scripting Languageunmatched
- Retailunmatched
- SQL (Structured Query Language)unmatched
- Salesunmatched
- Scala Programming Languageunmatched
- Snowflake Schemaunmatched
- Software Engineeringunmatched
- Star Schemaunmatched
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