Job Description

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Design, develop and maintain scalable ETL/ELT data pipelines.
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Build and support data solutions using AWS S3, Glue, EMR, Athena and Aurora PostgreSQL.
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Develop data processing and transformation solutions using Python, SQL, Spark and PySpark.
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Design and maintain effective data models for analytical and operational requirements.
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Implement and support Change Data Capture (CDC) and data integration processes.
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Ensure data quality, governance, security and reliability across data platforms.
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Troubleshoot production issues and optimise data pipelines for performance and scalability.
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Implement automated deployments and testing through CI/CD pipelines and GitHub Actions.
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Collaborate with engineering, architecture,



product and business stakeholders in an Agile setting.
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Key Skills

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Strong hands-on experience with SQL and Python.
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Solid AWS experience, particularly S3, Glue, EMR, Athena and Aurora PostgreSQL.
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Strong experience with Spark/PySpark.
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Experience developing ETL/ELT pipelines and data integration solutions.
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Robust understanding of data modelling and operational databases.
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Experience with CDC, data governance, monitoring and CI/CD.
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Good problem-solving, communication and stakeholder management skills.
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📌 Data Engineer New South Wales (Australia)
🏢 Kaizen Global Technologies
📍 Australia