Job Description

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- 5+ years' experience in Database and Data Engineering.
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- Solid 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