AWS Data Engineer

1 week ago

Council of the City of Sydney, Australia Paxus - Technology + Digital Talent Full time

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.

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