Role:

Data Engineer (AWS)

Experience:

7+ Years

Location:

Sydney

Job Details:

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.

Interested Candidates can share their updated resumes to [email protected] or can reach me at

+61 291 575 539

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