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Avanade
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Data Engineer Consultant – Databricks and Azure (Melbourne Onsite)

Build scalable Azure data pipelines and PySpark transformations with Databricks. Support analytics and data science programs in financial services.

Tavsif

  • Create and improve scalable ingestion pipelines with Azure Data Factory, Databricks, and Apache Spark
  • Develop and maintain PySpark notebooks for data preparation, transformation, and enrichment supporting data science initiatives
  • Partner with data scientists to clarify requirements and deliver reliable, structured datasets on schedule
  • Establish data quality controls, validation rules, and monitoring processes
  • Connect and process structured, semi-structured, and unstructured data sources
  • Apply security, governance, and banking compliance standards to data solutions
  • Tune Azure Spark workloads to improve performance and control costs
  • Contribute to code reviews, solution design sessions, and agile ceremonies
  • Maintain documentation covering pipelines, workflows, and technical decisions

Talablar

  • Bring at least three years of hands-on experience with Azure Databricks
  • Demonstrate strong Apache Spark expertise, particularly PySpark for distributed processing
  • Have experience with Azure Data Factory, Azure Synapse, Azure Blob Storage, and Delta Lake
  • Understand ETL/ELT workflows, data modeling, and data warehousing principles
  • Use Python and/or Scala for data processing
  • Experience with CI/CD workflows using Azure DevOps, Git, and Terraform is preferred
  • Be familiar with SQL, NoSQL, and data lake architectures
  • Understand data governance, security, and compliance practices in financial services
  • Apply strong analytical and problem-solving abilities
  • Communicate effectively with stakeholders
  • Work productively across cross-functional teams
  • Bring an Agile mindset and experience in Scrum or similar environments
  • Hold Australian citizenship
  • Be eligible to obtain security clearance
  • A Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field is preferred
  • Databricks Certified Data Engineer Associate or Professional certification is advantageous
  • Experience in banking or financial services is highly desirable

O‘xshash ish o‘rinlari