Job Description
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Building and maintaining dbt transformation models across multiple pipeline layers — from raw ingestion through to governed, consumer-ready datasets
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Writing Snowflake SQL for complex transformations: type casting, deduplication, incremental load logic, surrogate key generation
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Developing and debugging Apache Airflow DAGs on AWS ECS
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Contributing to AWS Lambda-based ingestion( Python) — file validation, control file generation, S3 event handling
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Maintaining source-to-target mapping documentation and aligning models to business requirements and data specs
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Supporting onboarding of downstream consumers via data sharing mechanisms and event-driven notifications
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Participating in code reviews, writing YAML-based data quality tests, and owning tickets from design through to production
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Proficiency with dbt Core
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Apache Iceberg Table format (Nice to have)
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AWS - Working Knowledge of S3, Lambda, MWAA, ECS, Glue Catalogs, Lake Formation, Lambda, SQS, EventBridge
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Experience with fixed-format or structured financial data files
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#J-*****-Ljbffr

📌 Data Engineer (New South Wales)
🏢 Viable Solutions
📍 New South Wales