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MABASA / LINKEDIN

Data Engineer (Snowflake, DBT, AWS)

Synechron

Location
Sydney, New South Wales, Australia
Work type
contract
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

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. * Enterprise Architecture

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