Senior Support Engineer (SQL/ETL)

Audible is looking for a dynamic and motivated Support Engineer to join a growing team. If you are customer-focused with creative problem‑solving skills and have experience supporting technology teams, this role may be for you. As a member of our team you will have the opportunity to develop your career while supporting Audible’s services, platforms, and unique Activate Caring culture. This is a fantastic opportunity to leverage your communication, technical, and problem‑solving skills to impact millions of customers around the world.

Responsibilities

Be viewed as a support leader throughout the larger organization and are regularly engaged to work on cross‑team planning

Lead large, cross‑functional team projects and resolve the most complex support issues

Understand the business impact of support decisions

Drive the team to improve operational efficiency for all services through the identification and development of SLAs, metrics, monitors, procedures, tools, and documentation

Think proactively and work to prevent support issues before they are realized

Participate in design reviews to identify and mitigate support risks

Work closely with development and QA teams to improve the change management life‑cycle

Have a deep understanding of production architecture and familiarity with operating system best practices

Identify and drive small production architecture changes

Regularly work with management to assign tasks and small projects to other Support Engineers

Work with other Amazon leaders to share ideas and improve support across the company

Take a role in the strategic direction of the team

Play a significant role in hiring, mentoring, and training employees

Demonstrate excellent judgment when making decisions

Basic Qualifications

• 3+ years industry experience in programming and/or technical support roles
• Proficiency with Python and SQL
• Experience working with data systems
• Experience with database concepts and data processing
• Experience troubleshooting and debugging technical systems
• Experience in Unix or Linux OS

Preferred Qualifications

Experience scripting in modern programming languages

Experience with ETL processes

Exposure to big data technologies (Hadoop, Spark, etc.)

Knowledge of data querying

Understanding of data warehousing concepts

Knowledge of data visualization tools (e.g. AWS QuickSight, Tableau, etc.)

Good understanding and experience of using GIT

Supporting implementations enterprise‑wide

Applications with different geographies

Knowledge of AWS Services

An understanding of computer networking fundamentals

Ability to run and debug code through an IDE

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