Data Engineer (Snowflake, dbt, and AWS) :Sydney

**About the Company :** At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry\-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end\-to\-end Artificial Intelligence, Consulting, Digital, Cloud \& DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile\-first applications and more. Over the last 20\+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000\+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website: www.synechron.com. **Location: Sydney** **Data Engineer (Snowflake, dbt, and AWS) :Sydney** **Employment Type: Perm/Contract** *Note: Snowflake AWS and DBT is mandatory for this role.* **JD for your reference:** We are seeking a hands\-on Staff Engineer to lead the design, development, and optimization of scalable data platforms using Snowflake, dbt, and AWS. **Key Responsibilities:** * Design and develop scalable data pipelines and cloud\-based data platforms. * Build and maintain data transformation workflows using dbt. * Develop data models, reusable macros, tests, documentation, and CI/CD processes. * Optimize Snowflake performance, security, and cost efficiency. * Use AWS services such as S3, Glue, Lambda, IAM, Kinesis, and Step Functions. * Implement data quality, governance, monitoring, and security standards. * Lead technical designs, code reviews, and architecture decisions. * Mentor engineers and collaborate with cross\-functional teams. * Troubleshoot complex production and performance issues.