We are seeking Automation Engineers with a robust 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.
Note: Candidates must come from a Data Engineering background rather than traditional manual testing profiles who transitioned into automation testing
📌 Data Engineer Aws/automation Sydney (Australia)
🏢 CareCone Group
📍 Australia
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