Cloud Support Engineer (Bigdata)
DESCRIPTION
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Amazon Web Services is the global market leader and technology forerunner in the Cloud business. As a member of the AWS Support team in Amazon Web Services, 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.
Would you like to use the latest cloud computing technologies? Do you have an interest in helping customers understand application architectures and integration approaches? Are you familiar with best practices for applications, servers and networks? Do you want to be part of a customer facing technology team in India helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization?
If you fit the description, you might be the person we are looking for! We are a team passionate about cloud computing, and believe that world class support is critical to customer success.
Key job responsibilities
• 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 teams in India to help reproduce and resolve customer issues.
• Leverage your extensive customer support experience to provide feedback to internal Amazon teams in India 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.
A day in the life
• 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.
About the team
Diverse Experiences
AWS 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?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- Bachelor’s degree OR equivalent experience in a technical position
- Requires minimum of 2+ yrs experience on Hadoop/ML/Large Dataset handling with DB/DW experience and have advanced experience in Apache Hadoop, Apache Spark, Apache Hive, and Presto or ETL skills with working experience on Databases Oracle/SQL Server/ PostgreSQL/TerraData
- Advanced experience with System Administration with Linux (RHEL/CentOS) including Microsoft Active Directory, LDAP integration, DynamoDB or NoSQL technologies like MongoDB or Cassandra
- Experience with Network troubleshooting. Basic understanding of Machine Learning, troubleshooting Kerberos Authentication problems, Java and Python and shell scripting
PREFERRED QUALIFICATIONS
- Expert experience in the Hadoop Ecosystem including Apache Spark, Presto, Data Lake architecture and administration
- Prior work experience with AWS services - any or all of EMR,Glue,SageMaker and excellent knowledge of Hadoop architecture, administration and support
- Lead technical discussions on BigData systems architecture and design and have knowledge on distributed computing environments
- Strong analysis and troubleshooting skills and experience also having AWS Certified Solutions Architect/BigData Specialty.