Role : Data Automation Engineer

Experience: 7+ Years

Location: Sydney

We are seeking Automation Engineers with a solid Data Engineering background and hands-on experience in AWS Data Stack, Snowflake, and Airflow. This is an engineering-focused role requiring expertise in building automation frameworks, validating data pipelines, and ensuring quality across cloud-based data platforms.

Key Skills:

AWS Data Services (S3, Glue, Lambda, Redshift, Athena)

Snowflake, Apache Airflow

Python and Java

API Testing and Automation Framework Development

CI/CD (GitLab), DevOps Practices

Data Validation, ETL/ELT Testing, SQL

Kafka and Data Pipeline Testing

Cucumber, BDD Frameworks

Responsibilities:

Develop and maintain automation frameworks for data platforms and pipelines.

Build automated validation for data ingestion, transformation, and reporting workflows.

Support CI/CD automation and cloud-native deployments.

Collaborate with data engineers, developers, and stakeholders to ensure data quality and platform reliability.

📌 Data Automation Engineer (Sydney)
🏢 CareCone Group
📍 Sydney