Data Engineer, WW Pricing - Data & Analytics

AmazonSeattle, WA
$101,300 - $160,000Onsite

About The Position

WW Pricing drives the success of Amazon Retail and 3P Pricing by building software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible, pricing and publishing prices automatically for millions of products bought worldwide every day. You will be joining the 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 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.

Requirements

  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)
  • 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

Nice To Haves

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Responsibilities

  • Create data models and ML data infrastructure that power pricing algorithms and shape customer and seller experiences.
  • Develop essential data flows to keep systems running smoothly.
  • Uncover valuable insights that drive customer and seller success.
  • Develop GenAI based solutions to improve operational and reporting efficiency.
  • Own the models and processes for collecting and transforming data.
  • Work within Pricing software engineering teams to drive business initiatives.
  • Learn customer intentions and support understanding them to take the business to the next level.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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