Avanade
Avanade
Avanade бизнеске бұлтқа негізделген сілтемелерді басқару және цифрлық байланыс құралдарын ұсынады. Оның платформасы URL мекенжайларын қысқартуды, брендтелген сілтемелерді, динамикалық және GS1 Digital Link пішімдерін қоса алғанда QR кодтарын, мобильді қону беттерін, цифрлық визиткаларды, UTM науқандарын бақылауды, сілтемелер аналитикасын, API интерфейстерін және интеграцияларды қолдайды. Бұл мүмкіндіктер маркетинг, әзірлеу және клиенттерге қызмет көрсету топтарына цифрлық арналардағы клиенттермен өзара әрекеттесуді құруға, басқаруға және өлшеуге, сондай-ақ корпоративтік қауіпсіздік пен сәйкестік талаптарына арналған мүмкіндіктерді пайдалануға көмектеседі.

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.

Сипаттама

  • 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

Талаптар

  • 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

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