(N-246) | Cloud Support Engineer Ii - Big Data (English/Portuguese Speakers)

(N-246) | Cloud Support Engineer Ii - Big Data (English/Portuguese Speakers)

22 ene
|
Amazon
|
Xico

22 ene

Amazon

Xico

Are you a tech enthusiast who speaks Portuguese and English?
Join Latin America's premier AWS engineering team in Mexico and help shape the future of cloud technology!

As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed.
You will act as the Cloud Ambassador across AWS products, providing our customers with required tools and tactics to scale their impact in world-wide markets.

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.

Key job responsibilitiesYou will be primarily responsible for solving customer's cases through a variety of contact channels (telephone, email, and web/live chat), applying advanced troubleshooting techniques to provide tailored solutions and working with them to dive deep into the root cause of an issue.You will drive initiatives that improve support-related processes and our customers' experience.
These can include tutorials, how-to videos, technical articles, trainings, among others.You will leverage your customer support experience to provide feedback to internal AWS teams on how to improve our services, and work on critical, highly complex customer problems that may span multiple AWS services.You will be continuously learning groundbreaking technologies, and developing new technical skills and other professional competencies.You will act as interviewer in hiring processes, and coach/mentor new team members.PLEASE NOTE:



This role requires the flexibility to work 5 days a week (occasionally on weekends) on a rotational basis.
Schedules may align to Sunday - Thursday, Tuesday – Saturday or Monday - Friday. About the teamAWS Support Engineering is a customer-facing global organization that provides technical support to our customers as well as our internal teams.
As a member of our team, you will be at the forefront of this transformational technology, operating on a follow-the-sun model.
You will be 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.

BASIC QUALIFICATIONS- Minimum of 3+ years of related professional experience and bachelor's degree in Engineering/Computer Science/ Mathematics or any related field or equivalent military experience.




- Experience with system administration, and troubleshooting any operating system (Linux and/or Windows) and networking (HTTP/s, TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, CURL or related).
- Experience with Hadoop ecosystems (Apache Spark, Apache Hive).
- Experience in data lake architecture and administration.
- Ability to communicate effectively in English and Portuguese (written and spoken) within technical and business settings.

PREFERRED QUALIFICATIONS- Knowledge or experience utilizing data analysis techniques such as quantitative or qualitative analysis.
- Knowledge or experience in various big data or distributed systems (NoSQL, search and streaming).
- Understanding of cloud computing concepts and/or experience with any cloud platforms (AWS, Azure, Google Cloud).




- Experience scripting or developing in one or more of the following languages: UNIX Shell, Python, R, Ruby, GO, Java, .NET (C#), JavaScript.
- Knowledge of security concepts/best practices in securing application architectures from external threats.

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, protected veteran status, disability, age, or other legally protected status.

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