Sr. Data Engineer, WW Pricing Data and Insights

Job summary

The Senior Data Engineer will lead the design and implementation of next-generation data pipelines and ML infrastructure to support pricing algorithms. They will also mentor team members and leverage GenAI to build advanced analytics solutions for business operations.

Job details

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 Senior Data Engineer, you will be a technical lead on the team, leading designs and mentoring engineerings on the team. 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 leverage GenAI to build next generation solutions for data and analytics as well as operations. 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 - Architecture design and implementation of next generation data pipelines and BI solutions - Build next generation data and analytics solutions using GenAI - Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc. - Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Basic Qualifications: - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Bachelor's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or experience in defining and creating benchmarks for assessing GenAI model performance Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 135,700.00 - 226,500.00 CAD annually

What you’ll do

The Senior Data Engineer will lead the design and implementation of next-generation data pipelines and ML infrastructure to support pricing algorithms. They will also mentor team members and leverage GenAI to build advanced analytics solutions for business operations.

Requirements

Candidates must have at least 5 years of data engineering experience, including proficiency in SQL and at least one modern programming language. A bachelor's degree in a quantitative field is preferred, along with experience in data modeling and big data technologies.

Benefits

• Health insurance • Medical insurance • Dental insurance • Vision insurance • Prescription insurance • Basic life insurance • AD&D insurance • Registered retirement savings plan • Deferred profit sharing plan • Paid time off • Restricted stock units

Listed skills

• SQL · Preferred
• Amazon Web Services · Preferred
• Java · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data engineering
• Data modeling
• Data warehousing
• ETL pipelines
• SQL
• Python
• Java
• Scala
• NodeJS
• AWS
• GenAI
• Big data
• Hadoop
• Hive
• Spark
• Mentoring

Job areas

• Data & Analytics
• Software
• Technology
• Engineering
• Retail