Amazon Cloud Support Engineer Big Data / ETL 

New Zealand, Auckland, Auckland 

898638013

Key job responsibilitiesA day in the life
Every day will bring new and exciting challenges on the job while you:About the team
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.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.Work/Life Balance
Hybrid Work

- Good depth of understanding of ETL (Extract, Transform, Load).
- Able to create ETL pipelines to extract and ingest data into data lake/warehouse with simple to medium complexity transformations and troubleshoot ETL job issues.
- Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages.
- Good understanding of Linux and Networking concepts.

- Analysis and troubleshooting skills and experience
- 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.
- Be able to read and understand Python, Scala, Java and Shell code.
- Understanding of distributed computing environments.
- Proficient in Spark, Hive, and Presto/Trino.
- Experience working with docker.
- Prior working experience with AWS - any or all of EC2, S3, EBS, Glue, Athena.