DESCRIPTION

Job summary
Are you passionate about Cloud technology? Are you motivated to drive innovation? Is the idea of enabling Amazon to continue to be the first and best user of AWS technology exciting to you? Then this role might be perfect for you.

The Discovery & Networking Team is building the largest data lake of service to service communication in Amazon. We are looking for a Data Engineer to play a critical role in taking our platform to the next level.
-You will be working in one of the world's largest cloud-based data lakes.
-Mining data from services across Amazon to enable network connectivity in the cloud.
-Helping us build the infrastructure to add machine learning capabilities to our platform to enable the build out of a truly autonomous network for Amazon services.
-Possess skills in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud).
-Have extensive experience in the design, creation, management, and business use of extremely large datasets.
-Be very comfortable programming.
-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

-Degree in Computer Science, Engineering,
Mathematics, or a related field and 4-5+ years
industry experience
-Coding proficiency in at least one modern
programming language (Python, Java, etc.)
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 parallel
processing data technology such as
Redshift, Spark or Hadoop based big data
solution

PREFERRED QUALIFICATIONS

-Industry experience as a Data Engineer or
related specialty (e.g., Software Engineer, Data
Scientist) with a track record of manipulating,
processing, and extracting value from large
datasets.
-A desire to work in a collaborative,
intellectually curious environment.
-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 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
-Experience with AWS

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.