Data Engineer, WW Pricing - Data & Analytics

Job summary

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.

Benefits

Qualifications

• This job is for you if you are passionate about working with the largest and most complex data to optimize service performance.
• 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)
• PREFERRED
• Experience with big data
• and location.
• Amazon also offers comprehensive

Responsibilities

• 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.
• 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.
• 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

Skills

Degrees

Industry