
Large Scale Data Architect
1 week ago
Unlocking the Power of Data Engineering
Job OverviewThe role of Data Engineer involves designing, building, and maintaining large-scale data systems to support business decision-making. This includes developing and implementing ETL pipelines, data warehouses, and data lakes.
Key Responsibilities- Architect scalable data pipelines using AWS Glue, Airflow, and Terraform to ensure efficient data processing from multiple sources.
- Develop secure and cost-efficient data infrastructure using AWS services to meet business needs.
- Collaborate with stakeholders to define and drive strategic data initiatives, including data lakehouse architecture and real-time data processing.
- Own and enhance observability practices to monitor, alert, and log system performance.
- Implement automated data governance strategies to ensure compliance with GDPR and industry regulations.
This is a mid-senior level position requiring a deep understanding of large-scale data processing and engineering principles. The successful candidate will work alongside top talent in Australia, leveraging a vast AWS cloud native technology stack.
Required Skills and Qualifications- Deep knowledge of large-scale data processing and engineering principles.
- Expertise in AWS Glue, Airflow, Terraform, and other data engineering tools.
- Strong collaboration and stakeholder management skills.
- Ability to design, develop, and maintain secure and efficient data infrastructure.
- Understanding of data governance and compliance principles.
This role offers a competitive salary and benefits package, as well as opportunities for career growth and professional development.
Why Choose Us?Our company is passionate about creating a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
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