Amazon.com Services LLC

E-Commerce

DataEngineer,WWPricing-Data&Analytics

$130–160k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer, WW Pricing - Data & Analytics at Amazon.com Services LLC. Skills: Data engineering, SQL, Python, Data warehousing. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes”

Industry & Context.

E Commerce

What They're Looking For.

Must Have

5+ years of experience in data engineering or related field, Bachelor's degree in Computer Science, Engineering, or related field, Proficiency in SQL, Experience with at least one programming language (e.g., Python, Java, Scala)

Nice to Have

Master's degree or PhD in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake), Experience with distributed data processing frameworks (e.g., Spark, Hadoop), Experience with ETL/ELT tools and processes, Experience with data modeling and database design, Experience with machine learning frameworks, Experience with BI tools (e.g., Tableau, Power BI)

What You'll Do.

and maintain scalable data pipelines

Develop and optimize ETL/ELT processes

Build and manage data warehouses and data marts

Ensure data quality and integrity

Collaborate with data scientists and analysts to understand

Develop and maintain data models

Monitor and troubleshoot data pipeline performance

Implement data security and governance best practices

Stay up-to-date with emerging data technologies

How You'll Work.

Team & Collaboration

Data scientists; Analysts; Engineering teams

Full 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. Key job responsibilities - 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 Basic Qualifications: - 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: Hado

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