Building and maintaining dbt transformation models across multiple pipeline layers — from raw ingestion through to governed, consumer-ready datasetsWriting Snowflake SQL for complex transformations: type casting, deduplication, incremental load logic, surrogate key generationDeveloping and debugging Apache Airflow DAGs on AWS ECSContributing to AWS Lambda-based ingestion( Python) — file validation, control file generation, S3 event handlingMaintaining source-to-target mapping documentation and aligning models to business requirements and data specsSupporting onboarding of downstream consumers via data sharing mechanisms and event-driven notificationsParticipating in code reviews, writing YAML-based data quality tests, and owning tickets from design through to productionProficiency with dbt CoreApache Iceberg Table format (Nice to have)AWS - Working Knowledge of S3, Lambda, MWAA, ECS, Glue Catalogs, Lake Formation, Lambda, SQS, EventBridgeExperience with fixed-format or structured financial data files
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📌 Data Engineer (Sydney)
🏢 Viable Solutions
📍 Sydney