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Data Engineer I, Sales Data Services (SDS)

Amazon · New York, NY · Yesterday
ConsultingFull-time

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising.

About the role

SDS is part of the Sales Intelligence, Technology, & Enablement organization (SITE). We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing, fast APIs and agentic solutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.

Responsibilities

  • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
  • Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting.
  • Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
  • Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
  • Manage numerous requests concurrently and strategically, prioritizing when necessary.
  • Collaborate across teams to deliver results.
  • Mentor other engineers, influence positively team culture, and help grow the team.

Requirements

  • 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.
  • Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc.

Pay

USA, NY, New York - $111,400.00 - $185,000.00 USD annually.

Benefits

  • Sign-on payments and restricted stock units (RSUs).
  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans).
  • Employee Assistance Program (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.

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