Data Engineer
10 hours ago
Data Engineer – Australia
Location:
Australia
The Data Engineer will design, build, and maintain scalable data systems that enable reliable data flow and analytics across the organization. This role is ideal for a technically skilled professional who thrives on optimizing data pipelines, integrating diverse sources, and ensuring data accessibility for business insights across Australia.
Key Responsibilities
• Design, develop, and manage scalable data pipelines and ETL processes
• Build and maintain data architectures that support analytics and machine learning initiatives
• Collaborate with data scientists, analysts, and developers to deliver clean, structured, and accessible datasets
• Optimize data workflows for performance, reliability, and security
• Integrate data from multiple internal and external systems
• Develop and maintain data warehouse solutions and data lakes
• Ensure compliance with data governance and security standards
• Monitor system performance and troubleshoot issues proactively
• Contribute to continuous improvement of data engineering practices and tools
Requirements
• Bachelor's or Master's degree in Computer Science, Information Systems, or related field
• 2–5 years of experience in data engineering or a similar role
• Proficiency in SQL and programming languages such as Python or Java
• Experience with ETL tools and data pipeline frameworks (e.g., Apache Airflow, Spark, or Kafka)
• Strong understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB, BigQuery)
• Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
• Knowledge of data modeling, warehousing, and API integration
• Strong problem-solving skills and attention to detail
- • Excellent communication and collaboration abilities
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