Description

Do you love building tools and data pipelines? Are you excited by the opportunity to create clear effective reports and data visualizations, and partner with stakeholders to answer key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?

If this describes you, consider joining us as a Data Engineer. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.

Responsibilities:

As a data engineer I, you will/may:

Design, implement, and automate deployment of our distributed system 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

About the team

Daily Revenue Platform is a brand new team and its mission is to be the Authoritative Source of truth for Daily GAAP financials. The datasets generated by this team powers other AWS Finance applications, Forecasting team, Leadership reporting and BI systems. This team will be responsible to drive the AWS Fintech organizations vision forward in terms of proactive insights, metrics and drive better business decisions.

Basic Qualifications

• 2+ 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)

• Bachelor's or Master's degree in Engineering with 0-2 years of experience.

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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.