We are seeking an experienced Senior Data Engineer to join our team and help drive data solutions on AWS Cloud. The ideal candidate will have strong experience in cloud-based data platforms, data engineering, and analytics, with a passion for building scalable, high-performance data systems.

Key Responsibilities

• Design, develop, and maintain data pipelines, ETL workflows, and data models.
• Optimize and debug SQL queries, ensuring data accuracy and performance.
• Collaborate with stakeholders to understand data requirements and translate them into robust solutions.
• Implement CI/CD pipelines for data engineering workflows using tools like GitHub Actions, Jenkins, TeamCity, or Octopus.
• Ensure best practices in data security, DevSecOps, and automation of data ingestion and testing processes.
• Support AI and analytics initiatives by preparing and processing high-quality datasets.
• Work in an Agile environment, contributing to sprint planning, reviews, and documentation.

Skills & Experience

• Proven experience as a Data Engineer or similar role.
• Strong analytical, problem-solving, and communication skills with a proactive ‘can-do’ attitude.
• Sound understanding of data modeling concepts (conceptual, logical, physical).
• Strong SQL skills and familiarity with database design, indexing, and normalization.
• Expertise in AWS cloud infrastructure, especially services like S3, RDS, Redshift, Iceberg, and Glue.
• Experience with Python and Spark programming.
• Familiarity with BI, data warehousing, and ETL tools such as Glue, EMR, or Ab Initio.
• Knowledge of visualization tools like Power BI, Tableau, or QuickSight.
• Experience with test automation and test management tools (e.g., JIRA).
• Understanding of CI/CD, DevSecOps practices, and Agile methodologies.
• Automation skills in areas such as testing, data ingestion, APIs, and file transfers.
• Associate-level cloud certification in data engineering preferred.
• Basic understanding of AI, particularly in data processing and analytics.
• Bachelor’s degree in Computer Science, Information Technology, or Engineering.

Why Join Us?

• Work on large-scale, cloud-based data projects with cutting-edge technologies.
• Collaborate with a talented team of engineers, analysts, and data scientists.
• Opportunities for professional growth, learning, and certification.
• A supportive and innovative environment that values collaboration and excellence.

To apply, please reference job number #272259

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Aditi Yadav on 02 9464 5530 or email: ayadav@paxus.com.au and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.