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Designs and builds data pipelines, ETL processes, and API integrations for enterprise clients in Sydney, working with Snowflake, BigQuery, and Azure Synapse. Day to day involves unifying data from multiple sources, implementing data quality, and supporting analytics and AI initiatives; hybrid setup with a learning budget.
Designs, builds, and maintains ETL/ELT pipelines, API integrations, and real-time streaming solutions for enterprise clients, powering analytics and AI. Core stack includes dbt, Airflow, Azure Data Factory, Kafka, Python, and cloud warehouses like Snowflake, BigQuery, and Azure Synapse. Requires 3+ years in data engineering/integration.
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