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

Basic Qualifications

Minimum of 1+ years of related technical 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
troubleshooting database concepts, database administration (RDBMS, NoSQL,
DocumentDB) and data warehousing (high availability, DR, backup,
performance tuning, distributed systems). Knowledge or experience
troubleshooting Business Intelligence (BI) issues, and with Extract,
Transform, and Load ( ETL ) (ETL data load ingestion, Transformation,
Migration techniques, BI tools and specific features, Performance and
latency). 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 with
distributed search, conceptual search understanding, text parsing
analysis, tokenization, databases vs search services, data skew, fault
tolerance , etc. Knowledge or experience with data
streaming concepts such as producer, consumer, broker, controller/leader
zookeeper, distributed architecture topics, replicas, partitions. 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 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. 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. 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 Analytics role supports our services that focus on Analytic technologies, including Kinesis, OpenSearch, Redshift, QuickSight, Neptune and Managed Streaming for Kafka. These technologies allow our customers to analyze data from a wide variety of applications such as digital marketing, intelligent heuristics, fraud detection, ad tech, games, and IoT. Having the ability to process and analyze data in real-time is essential in the modern world.