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), MongoDB, and Apache Cassandra. BASIC QUALIFICATIONS · Bachelor’s degree OR equivalent experience in a technical position · Requires minimum of 3+ 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/TeraData · Advanced experience in DynamoDB or NoSQL technologies like MongoDB or Cassandra · Advanced experience with System Administration with Linux (RHEL/CentOS) including Microsoft Active Directory, and LDAP integration. · Experience with troubleshooting Kerberos Authentication problems. · Experience with Network troubleshooting. · Basic understanding of Machine Learning and statistics · Experience with Java and Python and shell scripting
Job summary
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 Internet Services Private Limited (AISPL), 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 group of smart people, passionate about cloud computing, and believe that world class support is critical to customer success.
WHAT CAN YOU EXPECT FROM A LIFE AT Amazon?
Every day will bring new and exciting challenges on the job while you:
WHY AWS PREMIUM SUPPORT?
We hire smart people who are keen to build a career with AISPL, so we are more interested in the areas that you do know instead of those you haven’t been exposed to yet.
https://www.youtube.com/watch?v=GC3bWcFFZTo&t=24s
§ 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 § Experience managing full application stacks from the OS up through custom applications § Prior work experience with AWS – any or all of EC2, VPC, S3, RDS, EMR, Glue, SageMaker § Excellent knowledge of Hadoop architecture, administration and support § Expert understanding of distributed computing principles and their application in the cloud § 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 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
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