Job Description
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5+ years' experience in Database and Data Engineering.
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Robust expertise in SQL and database performance tuning.
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Experience with AWS data services including :
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AWS Glue
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Amazon Redshift
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AWS Quick
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AWS DMS and Schema Conversion Tool (desirable)
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Strong SQL and data modelling skills.
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Proficiency in Python and/or PySpark
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Experience building ETL/ELT pipelines and cloud-native data solutions.
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Familiarity with Git, CI/CD, DevOps, and Agile delivery practices.
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Understanding of data governance, security, and operational support.
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Key Responsibilities
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Modernisation SQL Server databases to Amazon Aurora PostgreSQL.
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Analyse and convert SSIS ETL workflows into AWS Glue jobs and workflows.
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Migrate SSAS models and analytical workloads into Amazon Redshift.
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Rebuild SSRS reports and dashboards using AWS Quick.
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Design and develop scalable data ingestion, transformation, and reporting solutions.
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Develop and optimise data models, schemas, and database performance.
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Build and maintain CI/CD processes for database and data pipeline deployments.
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Implement data quality, monitoring, and operational support capabilities.
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Collaborate with architects, developers, business stakeholders, and reporting teams to deliver migration outcomes.
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Support testing, reconciliation, cutover, and post-production activities.
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📌 Senior Data Engineer (New South Wales)
🏢 Russell Tobin
📍 New South Wales