Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming
Job summary
Amazon Web Services is seeking an extraordinary Data Engineer to join the AWS Data Platform team.
Our teams take on some of the hardest scalability, performance, and distributed computing challenges the world. We process trillions of events per month using stream processing techniques (Kinesis), process billions of line items via map reduce (EMR) and handle artifacts through the latest in database technologies (DynamoDB and Aurora). We process big data and provide tools for customers to interactively understand their bills. We also provide the analytics that let customers handle billions of dollars of IT usage and spending. Because we sit at the nexus of all AWS services and interact directly with end-customers, we also work closely across all AWS teams to ensure that we offer a great customer experience.
The AWS Data Platform team's vision is to help customers handle the full life cycle of data at all levels of granularity, simplify data collection, integration, and aggregation of AWS data assets, and provide services (compute, storage, security) to access datasets at scale. We collect and process billions of usage and billing transactions every single day into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and service our external customers.
We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by bringing to bear Big Data technologies like Elastic Map Reduce (EMR) and Spark in addition to data warehouse technologies like Redshift to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. You will have the ability to craft and build AWS' data lake platform and supporting systems for years to come.
You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. 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 growth.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc.
We offer flexibility in working hours and encourage you to find your own balance between your work and personal life.
BASIC QUALIFICATIONS
This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of meaningful employment experience.
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Berlin, Germany
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv-Yafo, Israel
2-4 year
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Gda?sk, Poland
2-4 year
Bay Area, CA, USA
2-4 year
Cupertino, CA, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
United States
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
Bellevue, WA, USA
4-6 year
Ballston, NY, USA
2-4 year
Berlin, MD, USA
2-4 year
Bellevue, WA, USA
2-4 year
California, USA
2-4 year
Charlotte, NC, U.S.
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Cupertino, CA, USA
2-4 year
Denver, CO, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida City, FL, USA
2-4 year
Herndon, VA, USA
2-4 year
Irvine, CA, USA
2-4 year
Minneapolis, MN, USA
2-4 year
New Jersey, USA
2-4 year
Pasadena, CA, U.S.
2-4 year
Pittsburgh, PA, USA
2-4 year
Pasadena, CA, USA
2-4 year
Portland, OR, USA
2-4 year
Portland, OR, USA
2-4 year
San Diego, CA, USA
2-4 year
San Francisco Bay Area, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Virginia Beach, VA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Washington D.C., DC, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Cape Town, South Africa
2-4 year
Austin, TX, USA
2-4 year
Chicago, IL, USA
2-4 year
Dallas, TX, USA
2-4 year
Detroit, MI, USA
2-4 year
Houston, TX, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Nashville, TN, USA
2-4 year
Phoenix, AZ, USA
2-4 year
Salt Lake City, UT, USA
2-4 year
Tempe, AZ, USA
2-4 year
London, UK
2-4 year
United States
2-4 year
Bellevue, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
4-6 year
Dallas, TX, USA
2-4 year
London, UK
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
United States
2-4 year
Cupertino, CA, USA
2-4 year
Austin, TX, USA
4-6 year
Vancouver, BC, Canada
10-12 year
San Francisco, CA, USA
4-6 year
Toronto, ON, Canada
8-10 year
Washington D.C., DC, USA
2-4 year
San Francisco, CA, USA
4-6 year
Mono Hot Springs, CA, USA
4-6 year
Washington D.C., DC, USA
4-6 year
Arlington, VA, USA
6-8 year
Herndon, VA, USA
6-8 year
Seattle, WA, USA
6-8 year
Arlington, VA, USA
6-8 year
Herndon, VA, USA
6-8 year
Houston, TX, USA
6-8 year
Dallas, TX, USA
6-8 year
San Francisco, CA, USA
4-6 year
Seattle, WA, USA
4-6 year
Chicago, IL, USA
4-6 year
New York, NY, USA
4-6 year
Los Angeles, CA, USA
4-6 year
Mountain View, CA, USA
4-6 year
San Francisco, CA, USA
6-8 year
Santa Clara, CA, USA
6-8 year
Seattle, WA, USA
4-6 year
San Francisco, CA, USA
8-10 year
Miami, FL, USA
4-6 year
Santa Clara, CA, USA
6-8 year
Washington D. C., DC, USA
6-8 year
San Francisco, CA, USA
4-6 year
Arlington, VA, USA
4-6 year
Santa Clara, CA, USA
4-6 year
Washington D. C., DC, USA
4-6 year
New York, NY, USA
4-6 year
New Jersey Turnpike, Kearny, NJ, USA
4-6 year