Data Engineer, Amazon Fuse

Amazon.comSeattle, WA
86d$91,200 - $185,000

About The Position

Are you interested in using data to drive the next phase of Amazon's growth? Amazon Fuse helps third party subscription-based businesses better serve their customers by offering the selection, convenience and value customers have come to know and love from Amazon, including millions of Prime products and our full catalog of Prime Video. The Fuse Data & Analytics (D&A) team is looking for a Data Engineer to influence Fuse's direction using data insights. The ideal candidate is data-curious and possesses a strong analytical mindset. They excel at communicating with stakeholders and turning ambiguity and conjecture into actionable recommendations. They find opportunities where data will lead to better outcomes and mobilize the D&A team to meet them. In this role, you will be a technical expert with growing scope and impact. You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for business impact. We are seeking someone who can thrive in a fast-paced, high-energy work environment where we add value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who think like owners to develop themselves, their colleagues, and their team.

Requirements

  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • 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)

Nice To Haves

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Responsibilities

  • Architect, develop, and maintain scalable data infrastructure and data pipelines.
  • Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.
  • Design and implement ETL pipelines and BI solutions.
  • Collaborate with business owners, SDEs, and BI Engineers to explore new data sources and deliver insights.
  • Stay up to date with advancements in big data technologies and contribute to pilot projects.
  • Proactively identify and resolve data-related issues reducing operational load on the team.

Benefits

  • Equity and sign-on payments may be provided as part of a total compensation package.
  • Full range of medical, financial, and/or other benefits.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

General Merchandise Retailers

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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