Data Engineer, WW Pricing - Data & Analytics

Amazon.com, Inc.
Seattle, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 160K

Job location

Seattle, United States of America

Tech stack

Java
Data analysis
Big Data
Data Definition Language
Information Engineering
Data Infrastructure
ETL
Data Warehousing
Database Queries
Query Languages
Distributed Computing Environment
Hadoop
Hive
Python
Korn Shell
MultiDimensional EXpressions
Scala
Software Engineering
PL-SQL
SQL Databases
Data Streaming
Scripting (Bash/Python/Go/Ruby)
Spark
Electronic Medical Records
Data Analytics
Programming Languages

Job 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.

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.

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

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, 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 Qualifications

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

Benefits & conditions

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually

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