Cloud Support Engineer - Analytics @ Amazon Web Services (AWS) | Jobright.ai
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Cloud Support Engineer - Analytics jobs in Dallas, TX
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Amazon Web Services (AWS) · 1 week ago

Cloud Support Engineer - Analytics

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Responsibilities

You 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Technical SupportCloud ComputingSoftware DevelopmentSystem AdministrationData WarehousingDatabase AdministrationData StreamingUNIX ShellPythonRRubyGOJava.NET (C#)JavaScriptBusiness Intelligence (BI)ETL

Required

1+ years of software development, or 1+ years of technical support experience
Experience troubleshooting and debugging technical systems
Bachelor’s degree in Engineering/Computer Science/ Mathematics or any related field or a minimum of 1+ years of related professional and/or military experience and 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).

Preferred

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.
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).

Benefits

Full range of medical, financial, and/or other benefits

Company

Amazon Web Services (AWS)

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Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.

Funding

Current Stage
Late Stage

Leadership Team

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Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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Rajesh Jindal
Finance Director and CFO - AWS EMEA Commercial Sales
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Company data provided by crunchbase
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