Big Data Consultant

Are you a Big Data expert? Would you like to solve the most complex and high scale data challenges in the world?

At AWS, we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. As a Big Data Consultant you will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as high performance computing, batch data processing, Big Data and Business Intelligence. You will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights.

Responsibilities include:
· Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.
· Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings.
· Delivery - Engagements include 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 will include migration of existing applications and development of new applications using AWS cloud services.
As a member of the AWS Professional Services team, you are joining a team that invests in your success by providing comprehensive learning and mentorship programs.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Basic Qualifications

· Demonstrated experience in a customer facing capacity. Ability to lead and influence conversations around best practices, program management and risk mitigation with C-level executives.
· Experience using database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
· Deep understanding and hands-on capabilities with Apache Hadoop 1/2 and the Hadoop ecosystem. Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto.
· BS level technical degree required; with strong verbal and written communications skills.

Preferred Qualifications

· Computer Science or Math background preferred.
· Highly technical and analytical, possessing 5 or more years of IT platform implementation experience.
· Implementation experience with AWS services, including Elastic Map Reduce (EMR) and Redshift.
· Experience with tools such as Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, and Avro.
· Experience in Healthcare research pipelines is a plus.
· Proven track record of successful consulting engagements.
· Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.
· Hands on experience leading large-scale global data warehousing and analytics projects.
· Masters in Computer Science


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.

Amazon is committed to providing accommodations at all stages through recruitment and employment in accordance with applicable human rights and accommodation legislation. If contacted for an employment opportunity, advise Human Resources if you require accommodation, including in order to apply for a position