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    Senior Azure Data Engineer - Queensland, Australia - PM&E

    PM&E
    PM&E Queensland, Australia

    6 days ago

    Default job background
    Full time
    Description

    Opportunity

    to attend global awards events, including Global Gathering .
  • Various social events to promote networking, the celebration of wins, and sometimes just for fun

    • A day in the life...

  • Design, develop, and maintain data pipelines for extracting, transforming, and loading data from various sources into lake house.
  • Create and implement data models to support business requirements and data analysis needs.
  • Integrate data from multiple systems (internal & external) to provide a unified and consistent view of information.
  • Ensure data accuracy, consistency, and compliance with data governance policies.
  • Optimize data infrastructure and processes to improve data processing and query performance.
  • Build scalable and reliable data systems capable of handling large volumes of data.
  • Implement security measures to protect sensitive data and ensure data privacy and confidentiality.
  • Collaborate with BI developers, data modelers, data scientists, infrastructure engineers, key business stakeholders, application teams, and technology partners to understand data requirements and provide necessary data assets.
  • Evaluate and recommend new data engineering technologies and tools to enhance data capabilities.
  • Troubleshoot data-related issues and provide solutions to maintain smooth data operations.
  • Support data-driven decision-making processes by ensuring data availability and accessibility in suitable formats for analytical and integration purposes.

    • Who You Are...

  • Minimum of 5 years' experience as a Data Engineer, demonstrating familiarity with the Microsoft Azure cloud platform.
  • Excellent understanding of Azure databricks – Py spark, Spark SQL, Cluster Management, query optimizations, performance tuning.
  • Preferred experience in designing Data Lake or Lake House solutions utilizing Azure Databricks.
  • Expert level data Integration skills using Azure Data Factory or similar tools – Design parameterized multi-level data movement pipelines, Triggers, Monitoring, Alerts.
  • Fundamental knowledge of Azure DevOps or equivalent tools.
  • Experience in scripting data transformations using Python and Spark SQL.
  • Demonstrated expertise in SQL and ETL techniques.
  • Experience of extracting data from REST API endpoints.
  • Ability to work autonomously within a team environment.
  • Driven and results oriented personality.
  • Open to feedback and always looking for ways to improve own performance.
  • Analytical and curious mindset.
  • Strong interpersonal skills.
  • Strong knowledge and experience on data analysis and analysis frameworks.

    • Who we are...

    Since our beginning, our vision has always been to open up the world for those who want to see.

    As a global travel retailer, our people come from all different backgrounds, and our connections spread to the far reaches of the globe - 20+ countries and counting Together, we are a family (we call ourselves Flighties).

    Irreverence. Ownership. Egalitarianism.

    #LI-LR1 #LI-Hybrid

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