Professional Services III AMZ13521.11
Seattle, OR - USA
Job Summary
Position: Professional Services III - AMZ13521.11
Location: Seattle WA
Multiple Positions Available:
1. Develop deliver and implement AI IOT and data analytics
projects that help customers leverage their data to develop
business insights.
2. Focus on customer solutions such as machine learning IoT
batch/real-time data processing data and business intelligence.
3. Collaborate with AWS field sales pre-sales training and support
teams to help partners and customers learn and use AWS
services such as Athena Glue Lambda S3 DynamoDB
NoSQL Relational Database Service (RDS) Amazon EMR and
Amazon Redshift.
4. Deliver on-site technical engagements with partners and
customers. This includes participating in pre-sales on-site visits
understanding customer requirements creating packaged Data
& Analytics service offerings.
5. Engage in short on-site projects proving the use of AWS services
to support new distributed computing solutions that often span
private cloud and public cloud services. Engagements include
migration of existing applications and development of new
applications using AWS cloud services.
6. Work with AWS engineering and support teams to convey
partner and customer needs and feedback as input to technology
roadmaps.
7. Share real world implementations and recommend new
capabilities that would simplify adoption and drive greater value
from use of AWS cloud services.
8. Engaging with the customers business and technology
stakeholders to create a compelling vision of a data-driven
enterprise in their environment.
9. 100% telecommuting permitted work may be performed from
anywhere in the U.S.
(40 hours / week 8:00am-5:00pm Salary Range $153600 - $207800)
is an Equal Opportunity Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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Masters degree or foreign equivalent in Computer Science Engineering Information Technology Mathematics or a related field followed by 3 years of experience in IT platform implementation or a related occupation. Alternatively employer will accept a Bachelors degree or foreign equivalent in Computer Science Engineering Information Technology Mathematics or a related field followed by 5 progressively responsible years of experience in IT platform implementation or a related occupation.
Experience must include:
1. 3 years of experience in Data Lake/Hadoop platform implementation.
2. 3 years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
3. 3 years of experience with one or more of the following tools: Sqoop Flume Kafka Oozie Hue Zookeeper HCatalog Solr or Avro.
4. 3 years of experience with one or more SQL-on-Hadoop technology: Hive Impala Spark SQL or Presto.
5. 3 years of experience developing software code in programming languages including Java or Python.
The pay range for this position in Seattle WA is $153600 - $207800 (yr); however base pay offered may vary depending on job-related knowledge skills and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package in addition to a full range of medical financial and/or other benefits dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazons internal or external careers site.
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All applicants must meet all the above listed requirements.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Unclear Seniority
About Company
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