Role : Azure Data Engineer - Databricks
Type of role - Permanent Position
Location : Sydney, Australia
An Azure Data Engineer specializing in Databricks is responsible for designing, building, and optimizing scalable data pipelines on Microsoft Azure, leveraging Databricks, PySpark, Delta Lake, and related services. The role blends ETL/ELT development, data governance, CI/CD automation, and collaboration with analytics teams.
Data Pipeline Development
Design, build, and optimize
batch and streaming pipelines
using
Azure Databricks, PySpark, Delta Lake, and SQL
.
Implement
ETL/ELT frameworks
for ingestion from APIs, databases, flat files, and cloud storage.
Transform data across
Bronze, Silver, and Gold layers
in a Lakehouse architecture.
Work with
Azure Data Factory (ADF)
,
Azure Data Lake Storage Gen2 (ADLS)
, and
Azure Synapse Analytics
.
Configure and maintain
Databricks clusters, jobs, workflows, and notebooks
.
Tune Spark jobs for
performance and cost efficiency
.
#J-*****-Ljbffr
📌 Azure Data Engineer - Databricks (New South Wales)
🏢 CareCone Group
📍 New South Wales
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