Cloud Support Eng. I

5 months ago

Bengaluru Karnataka, India AWS India - Karnataka Full time

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
- Advanced experience in Apache Hadoop, Apache Spark, Apache Hive, and Presto or ETL skills with working experience on Databases Oracle/SQL Server/ PostgreSQL/TerraData
- Experience with Network troubleshooting.
- Basic understanding of Machine Learning and statistics
- Experience with Java and Python and shell scripting

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.
- 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.
AWS Premium Support is 24/7/365 operations and shift work will be required in afternoon i.e. 1 PM to 10 PM IST

About the team
The Big Data role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MangoDB, and Apache Cassandra.

Bangalore, KA, IND
- Expert experience in the Hadoop Ecosystem including Apache Spark and Presto
- Expert experience in NoSQL
- Expert experience in data Data Lake architecture and administration
- Prior work experience with AWS - any or all of EC2, VPC, S3, RDS, EMR, Glue etc
- Excellent knowledge of Hadoop architecture, administration and support
- Good understanding of distributed computing environments
- Lead technical discussions on big data systems architecture and design
- Strong analysis and troubleshooting skills and experience
- AWS Certified Solutions Architect
- AWS Certified Big Data Specialty
- Master’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR equivalent experience in a technical position

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