Data Engineer – Snowflake and AWS
Location: Melbourne, Australia Contract
Duration: 6 months (with possible extension)

About the Role

We are seeking an experienced Data Engineer with strong expertise in Airflow, AWS, and Snowflake to support the delivery of scalable and high-performance data solutions. This role involves building robust data pipelines, optimizing workflows, and working closely with cross-functional teams in a fast-paced environment.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Apache Airflow
• Build and manage data workflows leveraging AWS services (primarily ECS and S3)
• Develop, optimize, and manage data solutions in Snowflake
• Implement efficient ELT/ETL processes for large-scale data processing
• Monitor pipeline performance and troubleshoot data-related issues
• Collaborate with stakeholders to understand data requirements and deliver solutions
• Ensure data quality, reliability, and governance standards are maintained

Key Skills & Experience (Must-Have)

• Strong hands-on experience with Airflow (primary skill)
• Solid experience with AWS (ECS, S3 – primary focus)
• Proven expertise in Snowflake (data development & optimization)
• Advanced SQL skills and strong understanding of data modeling
• Experience building and managing end-to-end data pipelines

Good to Have

• Experience with Terraform (Infrastructure as Code)
• Exposure to CI/CD tools such as GitHub Actions or Buildkite
• Scripting experience in Python or similar languages

Domain Experience (Preferred)

• Prior experience working on Finance / Banking domain projects will be an added advantage