[Hiring] Professional Services III @Amazon

Role Description

• Develop, deliver and implement AI, IoT, and data analytics projects that help customers leverage their data to develop business insights.
• Focus on customer solutions such as machine learning, IoT, batch/real-time data processing, data and business intelligence.
• 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.
• Deliver on-site technical engagements with partners and customers, including participating in pre-sales on-site visits, understanding customer requirements, and creating packaged Data & Analytics service offerings.
• 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, including migration of existing applications and development of new applications using AWS cloud services.
• Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps.
• Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
• Engage with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.
• 100% telecommuting permitted; work may be performed from anywhere in the U.S. (40 hours/week, 8:00am-5:00pm, Salary Range $153600 - $207800)

Qualifications

• Master’s 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, a Bachelor’s degree or foreign equivalent in the same fields, followed by 5 progressively responsible years of experience in IT platform implementation or a related occupation.
• 3 years of experience in Data Lake/Hadoop platform implementation.
• 3 years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
• 3 years of experience with one or more of the following tools: Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, or Avro.
• 3 years of experience with one or more SQL-on-Hadoop technologies: Hive, Impala, Spark SQL, or Presto.
• 3 years of experience developing software code in programming languages including Java or Python.

Requirements

• 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 Amazon's internal or external careers site.

Benefits

• 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 this link for more information.