Azure Data Engineer
7 days ago
We are urgently seeking a highly skilled and experienced
Azure Databricks Data Engineer
to join our team in Sydney. This is a critical role for our data engineering function, focused on building robust, scalable, and efficient data solutions within the Azure cloud environment.
If you have a passion for building complex data pipelines and thrive on solving large-scale data challenges, we want to hear from you. This contract offers the opportunity to work on impactful projects with a high chance of long-term engagement.
Key Responsibilities:
- Design & Development:
 Architect, develop, and optimize data pipelines and ETL/ELT processes using modern tools like
 Azure Data Factory
 ,
 Azure Synapse Analytics
 , and primarily
 Azure Databricks
 .
- Data Transformation:
 Work with large volumes of structured and unstructured data to build and maintain data lakes, data warehouses, and real-time streaming solutions.
- Performance & Optimization:
 Utilize
 Apache Spark
 within Databricks to handle large-scale data processing and optimize the performance and cost of data workflows in Azure.
- Collaboration:
 Partner closely with data scientists, business analysts, and key stakeholders to understand data requirements and deliver solutions that meet business objectives.
- Data Governance & Security:
 Implement and enforce best practices in data quality, security, and governance using tools such as
 Azure Purview
 ,
 Azure Key Vault
 , and Role-Based Access Control (RBAC).
Required Skills & Qualifications:
- Experience:
 A minimum of
 4 years
 of hands-on experience as a Data Engineer or in a similar role.
- Databricks Expertise:
 Strong, demonstrable experience with
 Azure Databricks
 and deep knowledge of
 Apache Spark
 .
- Technical Proficiency:
 Expert-level skills in
 Python
 ,
 PySpark
 , and
 SQL
 are essential.
- Azure Stack:
 In-depth knowledge of core Azure data services, including
 Azure Data Lake Storage
 ,
 Azure Blob Storage
 , and
 Azure Data Factory
 .
- Data Architecture:
 Solid understanding of
 Delta Lake architecture
 and modern
 data lakehouse
 concepts.
- DevOps:
 Familiarity with CI/CD pipelines and DevOps practices within the Azure ecosystem (e.g., using
 Azure DevOps
 ).
- Foundational Knowledge:
 A strong grasp of data modeling techniques, performance tuning, and cloud security principles.
If you are an experienced data engineer looking for a challenging and impactful role, we'd love to hear from you.
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