Amazon Big Data Cloud Support Engineer BigData 

Ireland, Dublin 

254749067

Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications. As a Cloud Support Engineer, you will act as the ‘Cloud Ambassador’ across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.Key job responsibilities
WHAT CAN YOU EXPECT FROM A LIFE AT AWS?Every day will bring new and exciting challenges on the job while you:• Learn and use groundbreaking technologies.
• Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.
• Interact with leading engineers around the world.
• Partner with Amazon Web Services teams to help reproduce and resolve customer issues.
• Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
• Drive customer communication during critical events.
• Drive projects that improve support-related processes and our customers’ technical support experience.
• Write tutorials, how-to videos, and other technical articles for the developer community.
• Work on critical, highly complex customer problems that may span multiple AWS services.
• First and foremost this is a customer support role – in The Cloud.
• On a typical day, a Support Engineer will be primarily responsible for solving customer’s cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.
• Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives.
• Career development: We promote advancement opportunities across the organization to help you meet your career goals.
• Training: We have training programs to help you develop the skills required to be successful in your role.• Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.
• As we operate on a follow-the-sun model, with Premium Support sites located globally, there is no after hours on-call or mandated overtime in this role.
• https://www.youtube.com/watch?v=GC3bWcFFZTo&t=24s
• Meet Allan: https://www.youtube.com/watch?v=bHJVvrHo8E0
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Work/Life Balance
Inclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Advanced experience in Apache Hadoop, Apache Spark, Apache Hive, and Presto.
- Advanced experience with System Administration with Linux (RHEL/CentOS) including Microsoft Active Directory, and LDAP integration.
- Excellent knowledge of Hadoop architecture, administration and support Expert understanding of distributed computing principles and their application in the cloud

- Expert experience in the Hadoop Ecosystem including Apache Spark and Presto Expert experience in NoSQL
- Expert experience with blockchain technologies like Etherium
- Expert experience in data Data Lake architecture and administration
- Good understanding of distributed computing environments Lead technical discussions on big data systems architecture and design Strong analysis and troubleshooting skills and experience