Data Engineer I, Translation Services

Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement data solutions that provide answers to 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?
At Amazon, we hire the best minds in technology to innovate on behalf of our customers. Our customers focus is why we are one of the world s most beloved brands - customer obsession is part of our company DNA. Data engineers use the technology to solve complex problems and get to see the impact of their work first-hand.
The challenges data engineers solve for at Amazon are big and impact millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. Someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.
We re on the lookout for the curious, those who think big and want to define the world of tomorrow.
Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
How often can you say that your work changes the world? At Amazon, you ll say it often. Join us and define tomorrow

Key job responsibilities
"As a data engineer intern, you will/may:
Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple 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 that engineers, analysts, and data scientists use 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.
Develop code based automated data pipelines able to process millions of data points.
Improve database and data warehouse performance by tuning inefficient queries.
Work collaboratively with Business Analysts, Data Scientists, 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. " - 1+ years of data engineering experience
- Experience with SQL
- 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)