AWS Data Engineer - Candidates

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AWS Data Engineer - Candidates

  • Location:

    Sydney

  • Sector:

    Information Technology & Digital Services

  • Job type:

    Permanent

  • Contact:

    Will Dansey

  • Contact email:

    will@nbridge.com.au

  • Contact phone:

    0402 209 623

  • Job ref:

    3205626

  • Published:

    8 days ago

  • Expiry date:

    2021-02-09

  • Startdate:

    25/01/21

Our Client
Is a leader in the education space that is providing online learning tool to allow students worldwide to continue to achieve their educational goals during these trying times.

About the role

The purpose of this role is to build, run and support cloud-based data processing platforms, real time workload and streaming data flows in a large utility environment utilising automation.

The successful candidate will:
  • Understand business requirements
  • Ensuring developed services are running seamlessly
  • Setting up different development / staging / production environments in the cloud and on premises.
  • Help design, build and run cloud-based data processing platforms, real time workload and streaming data flows in a large utility environment utilising automation.
  • Building continuous integration pipelines.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
  • Ensuring monitoring, performance, reliability and quality of our data management application hosted in-cloud environments
  • Working with key vendors to ensure understanding of and alignment with the chosen framework
What you'll need:
  • Experience in DataLake, DataWarehouse platforms such as AWS Redshift, Snowflake is highly desirable.
  • Experience in S3, Lambda, StepFunction, EMR, SNS, SQS, AWS CLI etc
  • Strong skills with Java, Python, R, Sparc, Apache Airflow or similar languages
  • You must have a high level of expertise in AWS and ETL tools.
  • You will have demonstrated experience setting up new environments for projects and experience with cloud-based visualisation tools such as Tableau or similar.
  • Strong knowledge of and in-depth experience with Linux operating systems
  • Knowledge of networking and network security
  • Analytical and problem-solving abilities (think out of the box)
  • Certifications in AWS is essential