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JR BIG DATA ENGINEER WITH NET AND WIN/LIN - HYBRID IN POLANCO, CDMX (CSE I)

Ciudad de México - Ciudad de México

Descripción de la oferta de empleo

Basic Qualifications Minimum of 1+ years of related professional experience. Knowledge or 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). Knowledge or experience with Hadoop ecosystems (Apache Spark, Apache Hive). Knowledge or experience in data lake architecture and administration . Ability to communicate effectively in English (written and spoken) within technical and business settings. Preferred Qualifications Bachelor’s degree in Engineering/Computer Science/ Mathematics or related field. 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. What we offer
Our compensation philosophy offers
three main components:
Base Salary (displayed at the top). Sign-on Bonuses. Amazon Restricted Stock Units (RSU's).
Additionally, we offer benefits such
as:
Major Medical Insurance for you and your eligible
dependents. Dental Benefit. Payed Time Off (additional to vacation days). Savings Fund. Meal Vouchers. Among others. Key Job Responsibilities / A Day In The Life Of Your day as a Cloud Support Engineer will include, but not be limited to, the following activities. You will be primarily responsible for solving customer’s cases through a variety of contact channels (telephone, email, and web/live ), 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. 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. Job Summary 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. Y ou 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. About The Team AWS Support Engineering is a customer-facing global organization that provides technical support to our customers as well as our internal teams. As a member 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.
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Detalles de la oferta

Empresa
  • Amazon Web Services (AWS)
Municipio
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 15/02/2024
Fecha de expiración
  • 15/05/2024
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