Fresh Jobs at Amazon

Description

• Moderate all customer reviews and respond to email queries
• Meets or exceeds quality and productivity goals assigned by management
• Demonstrates clear and polite written and oral communication
• Maintains a positive and professional demeanor and portrays the company in a positive light
• Demonstrates appropriate sense of urgency for reviews moderation and email response and service levels
• Follows company policies and processes in order to process customer requests appropriately
• Demonstrates knowledge and use of departmental resources, policies and procedures.
• Uses customer service tools in order to provide an accurate response and an exceptional customer experience
• Escalates customer issues appropriately and correctly. Demonstrates timely, accurate and professional customer service
• Proactively communicates system and process issues, and customer feedback trends to management
• Exceeds customer expectations by going above and beyond all other duties as assigned.
• Moderate all customer reviews and respond to email queries in Hindi and English
• Meets or exceeds quality and productivity goals assigned by management
• Demonstrates clear and polite written and oral communication
• Maintains a positive and professional demeanor and portrays the company in a positive light
• Demonstrates appropriate sense of urgency for reviews moderation and email response and service levels
• Follows company policies and processes in order to process customer requests appropriately
• Demonstrates knowledge and use of departmental resources, policies and procedures.
• Uses customer service tools in order to provide an accurate response and an exceptional customer experience
• Escalates customer issues appropriately and correctly. Demonstrates timely, accurate and professional customer service
• Proactively communicates system and process issues, and customer feedback trends to management
• Exceeds customer expectations by going above and beyond.
• All other duties as assigned.
   

Basic Qualifications

• Must be fluent in Hindi (Speak, Read and write). A basic understanding of English will be required.
• Matric or equivalent
• 1+ year of relevant customer service experience
• Internet navigation and troubleshooting Skills
• Proficiency in Microsoft Outlook and MS Office applications
• Excellent communication skills (spoken and written)
• Flexibility in work schedule -(Shifts will possibly start and end outside of normal business hours)

Preferred Qualifications

• Some college degree preferred
• 1+ year of relevant phone or email customer service experience
• Ability to multi-task with phone and computer skills
• Experience working in a customer service or call center preferred
• Experience working under pressure in a fast-paced work environment while consistently meeting standards for productivity and quality
• Demonstrated ability to work as an effective team member

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Description

Amazon has built a reputation for excellence with recent examples of being named #1 in customer service, #1 most trusted, and #2 most innovative. Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. AWS Support provides global technical support to a wide range of external customers as they build mission-critical applications on top of AWS services.

Our Big Data Support team specialises in helping customers with streaming, storing and processing vast amounts of data in the Cloud. We also help our customers to leverage this data to produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Our engineers focus on helping customers use and integrate services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), ElasticSearch, Kinesis, Athena, ML/AI & more. With a global presence in eight countries. Our follow the sun support and shift model mean you will not be on-call.

We are seeking talented Systems engineers well versed in maintaining infrastructure of large complex systems/clusters. You will also be able to write code to automate maintenance, monitor performance or crunch data to solve business problems. We invest heavily in knowledge acquisition and skills development providing unlimited opportunities for technical and career development. If you have a spark for knowledge – we have the fuel for the fire.

Typical Day Every day will bring new and exciting challenges on the job while you:

• Apply advanced troubleshooting techniques to provide tailored solutions for our customers
• Drive customer interactions. Phone, Chat, Emails, Screen shares and conference calls
• Leverage your customer support experience to provide feedback to internal AWS teams on how to improve our services

Interact with leading technologists around the world


Basic Qualifications

To qualify for this role, you should have the following experience:

• Strong Linux/Unix system administrator skills
• Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages
• Understanding of networking principles and ability to troubleshoot (DNS, TCP/IP, HTTP)
• Foundational knowledge of databases and Structured Query Language (SQL)
• Understanding of Virtualization and/or cloud computing
• Good understanding of security best practices
• Impeccable written and oral communication skills
• Exceptional customer focus / Customer service experience
• Good understanding of distributed computing environments and methodologies
• Ability to work a staggered week, either Sun-Thu or Tue-Sat (no on-call)
   

Preferred Qualifications

These qualifications are optional, but please highlight them on your resume if you have them:

• B.S. or M.S. degree in Computer Science, MIS, CIS, or a related field
• 5+ years’ experience in either technical support or software development
• Demonstrable Knowledge & experience in various Big Data or distributed systems. Such as Hadoop, NoSQL, Search and Streaming
• Experience with Cloud Services and Cloud deployments. Exposure specifically to AWS a bonus
• Experience utilising data analysis techniques such as quantitative or qualitative analysis