AWS Data Engineer

Kaizen Global Technologies; Sydney; On-site; AUD 130,000 - 170,000; Full time

Job summary

Kaizen Global Technologies in Sydney, NSW, is seeking a cloud data engineer to design, develop, and maintain cloud-native data platforms and scalable ETL/ELT pipelines using AWS, Python, SQL, and Spark/PySpark.

You will optimize data processing with AWS S3, Glue, EMR, Athena, and Aurora PostgreSQL; implement CDC, data modeling, and event-driven pipelines; and collaborate with Agile teams to deliver reliable data solutions.

Qualifications

• Hands-on SQL, Python, AWS, ETL/ELT, data modeling and Spark/PySpark.
• Experience with AWS S3, Glue, EMR, Athena, Aurora PostgreSQL on production data platforms.
• Knowledge of CDC, data governance, CI/CD, GitHub Actions, monitoring and ops databases.

Responsibilities

• Design, develop, and maintain cloud-native data platforms and scalable ETL/ELT pipelines.
• Collaborate with stakeholders and Agile teams to troubleshoot data issues and improve platform performance.

Skills

SQL

Python

AWS

ETL/ELT

data modeling

Spark/PySpark

CDC

data governance

CI/CD

GitHub Actions

Agile delivery

Tools

S3

Glue

EMR

Athena

Aurora PostgreSQL

Kafka/MSK

Terraform

Snowflake

dbt

GitHub Actions

Job description

• Design, develop, and maintain cloud-native data platforms and scalable ETL/ELT pipelines using AWS services, Python, SQL, and Spark/PySpark.
• Build and optimize data processing workflows using AWS S3, Glue, EMR, Athena, and Aurora PostgreSQL.
• Implement CDC, data modeling, data integration, and event-driven data pipelines to support reliable and efficient data delivery.
• Establish data governance, monitoring CI/CD, and operational processes using GitHub Actions and related DevOps practices.
• Collaborate with stakeholders and Agile teams to troubleshoot data issues, improve platform performance, and deliver high-quality data solutions.

Skills Required:

• Strong hands-on experience with SQL, Python, AWS, ETL/ELT, data modeling, and Spark/PySpark.
• Proficiency in AWS S3, Glue, EMR, Athena, and Aurora PostgreSQL, with experience supporting production data platforms.
• Practical knowledge of CDC, data governance, CI/CD, GitHub Actions, monitoring, and operational databases.
• Exposure to Kafka/MSK, Terraform, and event-driven architectures; experience with Snowflake and dbt is an added advantage.
• Strong problem-solving, stakeholder management, communication, and Agile delivery skills.