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Data Engineer

Data Engineer

Job ID 
548526
Location 
US-WA-Seattle
Posted Date 
6/29/2017
Company 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 
..

Job Description

Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on Machine Learning and data science, believing every customer should not have the same experience? Amazon has a role or you.

As an Amazon.com Senior Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.

Basic Qualifications

A desire to work in a collaborative, intellectually curious environment.
· Degree in Computer Science, Engineering, Mathematics, or a related field or 7+ years industry experience
· Demonstrated strength in data modeling, ETL development, and data warehousing.
· Data Warehousing Experience with Oracle, Redshift, Teradata, etc.
· Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)

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.
    · 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
    - Some experience leveraging SAS, R or matlab to manipulate data and set up automated processes as per business requirement
    - Strong ability to interact, communicate, present and influence within multiple levels of the organization
    - Masters degree
    - Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions


    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.