Join Our AWS Support Team as a Cloud Support Engineer in Big Data/ETL!

At AWS Support, exciting challenges await you every day. Work alongside top engineers and customers globally as you design, troubleshoot, secure, and optimize workloads across a spectrum of cloud technologies. Our role provides a golden opportunity to advance your skills while creating tools and content that empower others.

Key Job Responsibilities

As a Cloud Engineer, expect to resolve customer queries through various channels such as telephone, email, and web/live chat. Utilize your advanced troubleshooting skills to deliver custom solutions and analyze the root cause of issues deeply. You will also:

• Mentor new hires and develop training material.
• Collaborate with development teams on complex issues and initiatives to deflect contacts.
• Engage in recruitment, tool/script writing, or collaborate with leadership on process and strategic improvements.

Special Focus Area: Big Data/ET, AWS Services like Glue, Athena, and MWAA

In our 'BigData/ETL' team, you'll focus primarily on services including AWS Glue, Athena, and Amazon Managed Workflows for Apache Airflow (MWAA), addressing high-impact technical challenges and crafting solutions.

A Day in the Life of a Cloud Engineer

Your day at AWS will be dynamic and fulfilling as you:

• Leverage cutting-edge technologies in data processing.
• Work closely with global engineering teams.
• Provide critical input to improve AWS services based on support experiences.
• Create technical content like tutorials and how-to videos to guide the developer community.

This role requires availability for a non-standard work week (Tue-Sat or Sun-Thu) without night shifts or on-call duties as part of a global team.

Job Locations

Candidates may choose to work out of Melbourne, VIC, AUS, or Sydney, NSW, AUS.

Basic Qualifications

• Experience with ETL processes and creating pipelines.
• Intermediate scripting skills in Java or Python; other languages considered.
• Strong grasp of Linux and networking fundamentals.
• Excellent communication and multitasking skills.
• Proactive learner eager to pick up new technologies.

Preferred Qualifications

• Degree in CS, engineering, analytics, or a related field.
• Proficiency in ETL tools like Talend and Informatica.
• Advanced SQL skills and familiarity with big data technologies such as Spark and Hive.
• Previous experience in customer service roles and with AWS technologies is advantageous.

Acknowledgement of Country & IDE Statement

In reconciliation spirit, Amazon acknowledges the Traditional Custodians of Australia, respecting past and present elders. Amazon champions a diverse and inclusive workplace, equal employment opportunities and condemns discrimination of any kind.

Ready to become the next cloud expert with AWS? Apply now to embark on this rewarding journey.