At a Glance
- Tasks: Design and optimise data pipelines using Azure Databricks, Spark, and SQL.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for skill development.
- Other info: Dynamic team environment with great potential for career advancement.
- Why this job: Be at the forefront of data engineering and make a real impact.
- Qualifications: Experience with Databricks, SQL, and data warehousing concepts required.
The predicted salary is between 123750 - 151250 $ per year.
We are looking for a hands-on Developer Programmer to design, build, and optimize high throughput data pipelines on Azure Databricks using Spark (Scala) and SQL.
- Design & develop scalable ETL/ELT pipelines in Azure Databricks using Spark (Scala) and SQL, following medallion architecture (Bronze/Silver/Gold) and Delta Lake best practices.
- Proven expertise in designing real-time and near real-time integrations.
- Operationalize workloads: jobs & workflows scheduling, CI/CD with Git (e.g., Azure DevOps), secrets management, and observability.
Data Engineer in Sydney employer: CareCone Group
CareCone Group is an exceptional employer located in the vibrant city of Sydney, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from ongoing professional development opportunities, competitive remuneration, and a supportive environment that values work-life balance. Joining our team means being part of a forward-thinking organisation dedicated to delivering high-quality IT solutions while ensuring compliance with Australian working rights.
We think you need these skills to ace Data Engineer in Sydney
Python
Data Engineering
SQL
Communication Skills
Problem-Solving Skills
ETL/ELT Processes
Data Warehousing
