Data Engineer - Snowflake and AWS

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