Role- Data Engineer - Azure Databricks

Location- Sydney

Primary or Mandatory skills: Azure Databricks, Scal, Spark, SQL, Python

Positive to have skills

Databricks, SQL, Python, Data warehousing concepts

(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:

o Hyperscalars Azure, AWS o Data Platforms ‿ (e.g. Databricks) and big data technologies.

o Big Data Hive, Impala, Sqoop, Spark (Scala/ Python)

o Real time data processing frameworks Spark Streaming, Apache/Confluent Kafka o 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

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