Sr. Data Engineer, WW Pricing Data and Insights

Amazon; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

Well-being resources

Job summary

Amazon in Vancouver seeks a Senior Data Engineer to lead data pipeline designs and mentor engineers on a pricing data platform. You will build data models and ML data infrastructure powering pricing algorithms for customers and sellers.

You will own data collection and transformation models, collaborate with Pricing software teams, and leverage GenAI to deliver next-gen data and analytics solutions while ensuring reliable operations.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL and at least one modern language (Python/Java/Scala/NodeJS).
• Experience mentoring team members on best practices.
• Bachelor's degree or higher in a quantitative field.

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.
• Build and deliver high quality data architecture and pipelines for analysts and data scientists.
• Interface with other teams to extract, transform, and load diverse data sources.
• Improve reporting and automate self-service analytics for customers.

Skills

Data engineering

SQL

Python

Java

Scala

NodeJS

Data modeling

ETL pipelines

Mentoring

Education

Bachelor's degree or above in a quantitative field

Tools

Hadoop

Hive

Spark

EMR

Job description

Sr. Data Engineer, WW Pricing Data and Insights

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 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.

• health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
• Registered Retirement Savings Plan (RRSP)
• Deferred Profit Sharing Plan (DPSP)
• paid time off
• other resources to improve health and well-being.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.