Role- Azuer Data Engineer

Location- Sydney

Job Details-

Primary or Mandatory skills:

- Azure Databricks
- Scala Spark
- SQL
- Python

Detailed (Role & Responsibility, Skill and Experience range)

- 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.
- Expertise in cloud platforms and related technologies, specifically:




- Hyperscalars Azure, AWS
- Data Platforms (e.g. Databricks) and big data technologies.
- Big Data Hive, Impala, Sqoop, Spark (Scala/ Python)
- Real time data processing frameworks Spark Streaming, Apache/Confluent Kafka
- CICD tools ‿ GitHub, Confluence, Jira, Jenkins
- Proficiency in SQL, Python, and data integration tools.
- Familiarity with Master Data Management solutions
- Excellent communication and stakeholder management skills.

Interested Candidates can share their updated resumes to [email protected] or can reach me at 61 291 575 539

📌 Azure Data Engineer (Sydney)
🏢 CareCone Group
📍 Sydney