Data Engineer (Snowflake, DBT, AWS)

• $840 plus GST ( ABN)
• 12 months contract
• Central location

We are seeking a Data Engineer to support and enhance a Snowflake-based Data Platform hosted on AWS . The ideal candidate will have experience in data engineering, platform support, and cloud-based data solutions, with strong hands-on expertise in Snowflake, dbt, Data modelling, and AWS services . The role will involve managing data platform operations, supporting project delivery, troubleshooting issues, and driving continuous improvements across the data ecosystem.

Key Responsibilities

• Support the delivery, maintenance, and enhancement of Snowflake-based data solutions on AWS.
• Monitor and manage Snowflake environments, ensuring platform stability, performance, and availability.
• Develop, maintain, and support dbt transformations and data models.
• Collaborate with Data Engineers, Architects, DevOps teams, and business stakeholders to deliver data platform initiatives.
• Troubleshoot data pipeline, integration, and platform issues, performing root cause analysis and remediation.
• Implement platform monitoring, performance tuning, and cost optimization recommendations.
• Assist with production deployments, release management, and environment support activities.
• Maintain technical documentation, operational procedures, and project artifacts.

Required Skills

• Experience working with Snowflake Data Cloud in an AWS environment.
• Strong understanding of AWS services including:
• Amazon S3
• IAM
• CloudWatch
• Lambda
• SNS/SQS (preferred)
• Hands-on experience with dbt for data transformation and modelling.
• Strong SQL and data warehousing knowledge.
• Experience working with ETL/ELT pipelines and cloud-based data platforms.
• Familiarity with Git, CI/CD pipelines, and Agile delivery methodologies.
• Strong problem-solving, analytical, and stakeholder communication skills.

Preferred Skills

• Snowflake and/or AWS certifications.
• Experience with Python scripting and automation.
• Exposure to Terraform, DataOps, and cloud-native architecture patterns.
• Experience working in enterprise-scale AWS data platforms.