Data Engineer - Business Data Technologies Job in Amazon

DESCRIPTION

Amazons eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale.
As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Services (AWS) Redshift, Hive, and Spark. We build scalable solutions that grow with the Amazon business.

BDT is growing, and the data processing landscape is shifting. Our data is consumed by thousands of teams across Amazon including Research Scientists, Machine Learning Specialists, Business Analysts and Data Engineers. Amazon.com is seeking an outstanding Data Engineer to join the BDT Content team. The BDT Content team manages the core Amazon business data from hundreds of source systems. Amazon.com has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. If you join the Amazon.com BDT Content team, your work will have an immediate influence on day-to-day decision making at Amazon.com.

Responsibilities
Amazon.com Business Intelligence is a fast paced environment where every day brings new challenges and new opportunities. As a Data Engineer working on the analytics platform, you will be implementing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. You will be challenged with a variety of tasks, ranging from server administration to metadata modeling to UI design. You will interact with customers to gather requirements and structure solutions.Design, implement and drive adoption of new analytic technologies and solutions. Promote industry standard best practices. Interface with business customers, gathering requirements and gaining a deep-dive understanding of key datasets.Tuning application and query performance against large, complex data structures.
eCommerce Platform Services

BASIC QUALIFICATIONS

A desire to work in a collaborative, intellectually curious environment.
Degree in Computer Science, Engineering, Mathematics, or a related field and 4-5+ years industry experience

Must have one year of experience in the following skill(s):
Developing and operating large-scale data structures for business intelligence analytics using: ETL/ELT processes; OLAP technologies; data modeling; SQL;
Experience with at least one relational database technology such as Redshift, Oracle, MySQL or MS SQL
Experience with at least one massively parallel processing data technology such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution

PREFERRED QUALIFICATIONS

Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience building data products incrementally and integrating and managing datasets from multiple sources
Query performance tuning skills using Unix profiling tools and SQL
Experience leading large-scale data warehousing and analytics projects, including using AWS technologies Redshift, S3, EC2, Data-pipeline and other big data technologies
Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
Linux/UNIX including to process large data sets.
Experience with AWS