What does a healthy organization look like in Amazon? With the growing workforce, are we facilitating the right conversations on performance and talent management? What trends are we seeing in our employee and candidate data and what can managers do about it? What data and insights do our customers (business leaders, people managers, HR, Recruiting) need to enhance their ability to deliver results and improve the employee experience? How can we build an internal tool that is as intuitive and high-performing as our externally facing products? If these challenges sound interesting to you, you want to be a part of building a 'first of its kind' product, and you are passionate about data, consider the Consumer People Analytics (CPA) team.
As a Data Engineer on the CPA team, you will be a thought leader and have an opportunity to collaborate with a team of data scientists, business intelligence engineers, software development engineers, data engineers, and product managers to answer these questions and develop products to help Amazon business and HR leaders manage these insights at scale.
Primary responsibilities of this role include:
* As an Amazon Data Engineer you will be working in one of the world's largest data warehouse environments. * You will be designing, developing, and implementing large scale databases and using internal ETL tools to manipulate data. * You will be working on different AWS database technologies like Redshift, DynamoDB, etc. * You will need to be comfortable with owning the team's data architecture decisions and working through ambiguity to come up with optimal solutions. * Work with internal HR and Recruiting customers to understand reporting requirements specific to the International Consumer (ICC), North America Consumer (NAC), or ecommerce platform (eCP) organizations.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.