Job Description
- Date Posted January 10, 2024
- Location Nairobi City, Kenya
- Category Software Developer, Software Engineering
- Expiration date–
- Gender Both
- Industry Information Technology, Software Development
- Career Level Officer
WHY AWS SUPPORT?
First and foremost this is a customer support role – in The Cloud.
On a typical day, a Support Engineer will be primarily responsible for solving customer’s cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.
Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives.
Career development: We promote advancement opportunities across the organization to help you meet your career goals.
Training: We have training programs to help you develop the skills required to be successful in your role.
We hire smart people who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven’t been exposed to yet.
Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.
As we operate on a follow-the-sun model, with Premium Support sites located globally, working hours and days are based on customer demand and may include weekends (on a rotational basis).
Cloud Support Engineers in the Data in Transit domains support customers who are running ETL workload or analyzing large amounts of data using AWS services. As a part of this team, you will be working on a plethora of services such as Glue(ETL service), Athena(interactive query service), Managed Workflows of Apache Airflow etc.
A day in the life
Every day will bring new and exciting challenges on the job while you:
· Learn and use groundbreaking technologies.
· Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs.
· Interact with leading engineers around the world.
· Partner with Amazon Web Services teams to help reproduce and resolve customer issues.
· Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
· Drive customer communication during critical events.
· Drive projects that improve support-related processes and our customers’ technical support experience.
· Write tutorials, how-to videos, and other technical articles for the developer community.
· Work on critical, highly complex customer problems that may span multiple AWS services.
We are open to hiring candidates to work out of one of the following locations:
Nairobi, KEN
BASIC QUALIFICATIONS
Basic Qualifications
Understanding of ETL (Extract , Transform , Load) – Creation of ETL Pipelines to extract and Ingest data into data lake/warehouse with simple to medium complexity Data transformations and troubleshooting ETL job issues.
Understanding of Linux and Networking concepts.
Excellent oral and written communication skills with multi-tasking ability.
Master’s degree in Information Science/Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR Bachelor’s degree in the same with 1+ year of experience OR equivalent experience in a technical position
PREFERRED QUALIFICATIONS
Preferred Qualifications
Intermediate to advanced expertise in ETL tools such as Talend, Informatica or similar.
Knowledge of data management fundamentals and data storage principles
Advanced SQL and query performance tuning skills.
Experience integrating and managing large data sets from multiple sources
Ability to read and understand Python and Scala code
Understanding of distributed computing environments
Proficient in Spark,Hive and Presto
Experience working with docker
Python, and shell scripting
Customer service experience / strong customer focus
Prior working experience with AWS – any or all of EC2, S3, EBS, Glue, Athena
Experienced with Linux system monitoring and analysis(disk management, memory management, permissions etc.)
Understanding of Networking concepts and protocols(DNS, TCP/IP, DHCP, HTTPS, etc.)