Cloud Support Engineer - Extract, Transform and Load

- 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 an in-depth understanding of ETL (Extract, Transform, Load), able to create ETL pipelines to ingest data into datalake/warehouse with simple to complex transformations and troubleshoot ETL job issues. Intermediate to advanced expertise in ETL tools such as Talend, Informatica or similar. Knowledge or Experience with Networking and troubleshooting (TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related). Understanding of OS concepts(memory, storage and CPU usage).
- Knowledge or experience with Hadoop ecosystems (Apache Spark, Apache Hive), Presto/Trino. Advanced SQL and query performance tuning skills.
- Knowledge or experience in data lake architecture, administration and data analysis techniques such as quantitative or qualitative analysis.
- Knowledge or experience in various big data or distributed systems (NoSQL, search and streaming).
- Be able to read and understand Python, Scala, Java and Shell code.
- Understanding of cloud computing concepts and/or experience with any cloud platforms (AWS, Azure, Google Cloud).

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $71,100/year in our lowest geographic market up to $158,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 (Distributed Processing) role supports our services that leverage data and produce business insights, which include hadoop ecosystem and component/applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS, YARN and Pig. In this role, engineers interact with customers that reach out to AWS via email, chat or phone, helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. Engineers develop Subject Matter Expertise in one or more services. Engineers also collaborate with internal teams to provide the required support services to AWS customers. In addition, engineers also work on team functions, automation/optimization projects and continually work on improving operational efficiency.

A day in the life
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 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 innovative 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.

Want to know what’s it like to be a Support Engineer at AWS? Take a look https://www.youtube.com/watch?v=GC3bWcFFZTo

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.

About AWS

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.