As a Data Engineer in the WW Pricing Data & Analytics team, you will be responsible for creating data models and ML data infrastructure that enhance pricing algorithms. You will work with a team of Data Engineers and Business Intelligence Engineers to develop data flows that optimize service performance. This role involves working with complex data to uncover insights that drive customer and seller success. Your contributions will help improve operational and reporting efficiency through GenAI based solutions.

• Proficiency in SQL, including Redshift, Athena, and Spark SQL.
• Experience with at least one programming language such as Python, Java, or Scala.
• Familiarity with distributed data processing frameworks like Spark and EMR.
• Understanding of data warehousing concepts and star/snowflake schemas.
• At least 1 year of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with one or more query languages such as SQL, PL/SQL, or HiveQL.
• Experience with one or more scripting languages such as Python or KornShell.
• Experience with big data technologies including Hadoop, Hive, and Spark.

• Create data models and ML data infrastructure for pricing algorithms.
• Develop essential data flows to ensure smooth system operations.
• Uncover valuable insights that drive customer and seller success.
• Collaborate with Pricing software engineering teams to drive business initiatives.
• Own the models and processes for collecting and transforming data.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.