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Kaizen Global Technologies Linkedin · Posted 3d ago

Data Engineer

Australia

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Indexed description

Key Responsibilities


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


Key Skills


  • Strong hands-on experience with SQL and Python.
  • Strong AWS experience, particularly S3, Glue, EMR, Athena and Aurora PostgreSQL.
  • Strong experience with Spark/PySpark.
  • Experience developing ETL/ELT pipelines and data integration solutions.
  • Strong understanding of data modelling and operational databases.
  • Experience with CDC, data governance, monitoring and CI/CD.
  • Good problem-solving, communication and stakeholder management skills.


Desirable Skills


  • Kafka / Amazon MSK
  • Terraform / Infrastructure as Code
  • Event-driven architectures
  • Snowflake
  • DBT


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