Platform Engineer - Snowflake, DBT & AWS Data Pipelines

Synechron; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Synechron in Sydney, Australia, seeks a data engineer to build and maintain dbt transformation models across pipeline layers, write Snowflake SQL for complex transformations, and develop Airflow DAGs on AWS ECS. You’ll contribute to AWS Lambda-based ingestion, maintain source-to-target mappings, and support downstream data sharing.

Join a global IT services provider focused on banking, finance and payments, with a culture of inclusion and flexible work arrangements.

Qualifications

• Experience with modern data platforms and cloud services.
• Strong knowledge of Snowflake, dbt Core and Airflow.
• Experience building data pipelines and performing data quality checks.

Responsibilities

• Build and maintain dbt transformation models across pipeline layers from raw ingestion to governed datasets.
• Write Snowflake SQL for complex transformations including type casting, deduplication and surrogate key generation.
• Develop and debug Apache Airflow DAGs on AWS ECS.
• Contribute to AWS Lambda-based ingestion workflows, including file validation and S3 event handling.
• Maintain source-to-target mappings and align models to business specs.
• Support onboarding of downstream consumers via data sharing mechanisms and event-driven notifications.
• Participate in code reviews and own tickets from design through production.

Skills

Python

SQL

Data modeling

ETL testing

CI/CD

Tools

Snowflake

dbt Core

Apache Airflow

AWS

S3

Lambda

Job description

Synechron in Sydney, Australia, seeks a data engineer to build and maintain dbt transformation models across pipeline layers, write Snowflake SQL for complex transformations, and develop Airflow DAGs on AWS ECS. You’ll contribute to AWS Lambda-based ingestion, maintain source-to-target mappings, and support downstream data sharing.

Join a global IT services provider focused on banking, finance and payments, with a culture of inclusion and flexible work arrangements.