Data Engineer I, AWS Actuals

$91,200 - $185,000/Yr

Amazon - Dallas, TX

posted 2 months ago

Full-time - Entry Level
Dallas, TX
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

As a Data Engineer I at Amazon, you will play a crucial role in building tools and data pipelines that support the company's mission to provide clear and effective reports and data visualizations. This position offers the opportunity to partner with stakeholders to address key business questions and contribute to one of the most visited sites on the Internet. You will be part of a fast-paced environment where your work will have a significant impact on the evolution of Amazon technology and the success of mission-critical projects early in your career. Your contributions will help solve some of the most complex technical challenges faced by the company. In this role, you will be responsible for designing, implementing, and automating the deployment of distributed systems that collect and process data from multiple upstream sources. You will design data schemas and operate internal data warehouses, as well as SQL and NoSQL database systems. Additionally, you will own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that drive key business decisions. Monitoring and troubleshooting operational or data issues in the data pipelines will also be part of your responsibilities. You will work collaboratively with Technical Program Managers (TPMs), Product Managers, and other internal partners to identify opportunities and problems. Your role will also involve providing assistance to the team with troubleshooting, researching root causes, and thoroughly resolving defects in the event of a problem. The Daily Revenue Platform team, which you will be a part of, is dedicated to being the authoritative source of truth for Daily GAAP financials, powering other AWS Finance applications, forecasting teams, leadership reporting, and BI systems. This team is responsible for driving the AWS Fintech organization's vision forward by providing proactive insights and metrics that lead to better business decisions.

Responsibilities

  • Design, implement, and automate deployment of distributed systems for collecting and processing data from multiple upstream sources.
  • Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
  • Monitor and troubleshoot operational or data issues in the data pipelines.
  • Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
  • Work collaboratively with TPMs, Product Managers, and other internal partners to identify opportunities/problems.
  • Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.

Requirements

  • 2+ years of data engineering experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience with SQL
  • Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting languages (e.g., Python, KornShell)
  • Bachelor's or Master's degree in Engineering with 0-2 years of experience.

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.

Benefits

  • Full range of medical benefits
  • Financial benefits including equity and sign-on payments
  • Comprehensive employee benefits package
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