Data Engineer
Madrid, M, ES
hace 5 días

Do you want to reinvent one of life’s daily activities? Do you get excited by working in a high-growth and fast-paced environment?

Amazon Kindle is changing the way people consume digital media and continues to be one of the most innovative and fastest growing businesses at Amazon.

The Kindle Content team works on making every content in every language available for every customer everywhere.

We own a family of programs which differentiate the Kindle customer experience and helps customers find the next book to read.

The team owns the entire shopping experience for Kindle customers on all reading surfaces and apps and across all countries worldwide.

The team also owns Kindle Unlimited the Amazon service that enables customers to read as much as they want, choosing from millions of titles and audio books, freely explore new authors, books, and genres from mysteries and romance to sci-fi and more.

We own programs to drive demand for all book categories, make looking for e-books easy and fun, and help customers find their next reads.

As a Data Engineer in Amazon Kindle team, you should have excellent business and communication skills to be able to work with business analysts and software engineers to determine how best to design the data warehouse for reporting and analytics.

You should be an expert in the architecture of data warehouse solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of large and complex datasets.

You will be responsible for designing and implementing scalable processes to publish data and build solutions to reconcile data in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.

You should have the ability to develop and tune SQL to provide optimized solutions to the business.

  • Bachelor's degree or higher in a technical / quantitative field (e.g. Computer Science, Statistics, Engineering).
  • 3+ years of relevant experience in one of the following areas : data engineering, database engineering or business intelligence
  • 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets
  • 2+ years of experience in scripting languages like Python etc.
  • Demonstrated strength in data modeling, ETL development, and data warehousing.
  • Experience with AWS services including S3, Redshift, EMR and RDS
  • Experience in working and delivering end-to-end projects independently
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
  • Experience working with other engineers in defining data engineering best practices and leveraging software development lifecycle best practices such as agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • Masters or PhD in computer science, mathematics, statistics, economics, or other quantitative field
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