Azure Data Engineer

7 days ago

Sydney, New South Wales, Australia AI Hustler Full time $120,000 - $180,000 per year

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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