Senior Cloud Support Engineer - Analytics at Amazon Web Services

DESCRIPTION

Amazon has built a reputation for excellence and Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. . AWS is seeking talented engineers who enjoy solving problems, working with customers, and have a technical background from a variety of different fields including database design and optimization graph databases, and data warehousing. As a member of the AWS Support team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications. You will work with leading companies in this space and directly with the engineering teams within Amazon developing these new capabilities.

Amazon has a fast-paced environment where we “Work Hard, Have Fun, Make History.” On a typical day, a Cloud Engineer might thoughtfully work with customers to dive deep into the root cause of an issue, investigate why a metric is trending the wrong way, consult with a diverse range of engineers at Amazon and discuss radical new approaches to automate operational issues. As an Analytics engineer our customers will depend on your knowledge in Redshift, Neptune and Quicksight.

About You

Apart from working on a broad spectrum of technical issues, an AWS 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.

Our Cloud Engineers are also the “voice of the customer” and have a strong voice into the development teams for recurring issues or feature requests.

As we operate on a follow-the-sun model, with Premium Support sites located globally, there is no after hours on-call or mandated overtime in this role! Select a working week that works for you, working Sunday through to Thursday or Tuesday through to Saturday. Go forth and have the work-life balance you have always dreamed of!

A suitable candidate would be someone who is extremely customer focused, who could multi-task and utilize both written & verbal communication skills to help our diverse range of customers resolve their complex technical issues.


Basic Qualifications

Experience with one or more of the following areas:

• 6+ years of experience with Database Administration (Oracle, PostgreSql, SQL Server, MySql)
• 6+ years of experience with Datawarehousing technologies (Managing, Designing, Performance Tuning)
• 6+ years of ETL/BI experience.
• Analytics (Linux, Networking, MySQL/PostgreSQL/Oracle, Database Performance Tuning, ETL, BI, Kinesis/ElasticSearch/Cloudsearch, Datawarehousing (Redshift), Datalakes)
• Big Data (Zookeeper, Python, Shell scripting, Machine Learning, Natural Language)
• Databases (Oracle, MS SQL, MySQL, PostgreSQL, NoSQL, performance tuning, HA databases, database scaling)
• Networking (Load Balancing, Routing, Firewalls;
• Web Savvy (DNS, HTTP)

Preferred Qualifications

• Bachelor’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR 8 years equivalent professional experience.
• 6+ years of experience with Database Administration (Oracle, PostgreSql, SQL Server, MySql)
• 6+ years of experience with Datawarehousing technologies (Managing, Designing, Performance Tuning)
• 6+ years of ETL/BI experience.
• Expertise with Streaming (Kinesis, Kafka) and Search technologies (Elasticsearch, Cloudsearch)
• Knowledge of graph databases.
• Solid Linux OS and Networking experience.
• Solid Java, Python and Shell scripting experience.
• Web Savvy( DNS, HTTP status codes)
• Experience analysing, troubleshooting, and providing solutions for complex technical issues.
• Excellent oral and written communication skills – customers contact us via calls, chats, and email.
• Strong ability to build working technical teams and divide work to achieve results.
• Provide mentorship and training to other team members.
• Continuously drive process improvements.

You will work 5 days per week but may be faced with a non-standard weekend. The working days are Mon-Fri OR Tues-Sat OR Sun-Thurs

These shifts are dependent on team capacity, but flexibility is always open for discussion.
Working hours are either 6:00 -15:00, 8:00 - 17:00 or 10:00 - 19:00.