Big Data Designer

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Big Data Designer

Summary about this job

Architects

Company: BT Australasia

Location: Sydney

Work type: Full Time

Salary: n\a

Phone: +61-2-2379-9783

Fax: +61-2-9707-5161

E-mail: n\a

Site:

Detail information about job Big Data Designer. Terms and conditions vacancy

Key Responsibilities:

  • Provide design input into further developing the capabilities of BT’s principal advanced security platforms and offerings.
  • To provide analytical and innovative input to projects.
  • Upskill team members in the domain of Big Data platforms and development.
  • Provide input and thought leadership into big data platform architecture and design.
  • Provide input into data management design.
  • Represent BT at customer workshops.
  • Maintain knowledge of the Hadoop ecosystem and related emerging technologies.
  • Maintain knowledge of current trends in data handling techniques including life cycle and security maintenance.
  • Maintain knowledge of security and cyber telemetry, log feeds and intelligence platforms.
  • Maintain knowledge and awareness of current threat trends and security technologies.

Skills/Experience:

  • Detailed understanding of the various open source projects that constitute a comprehensive big data platform.
  • Extensive experience with supporting large production Hadoop platforms.
  • Great understanding on how Spark works and demonstrated experience using it in production environments.
  • Experience of the Elastic stack, including Elasticsearch, Logstash and Kibana.
  • Experience designing, creating, optimising and troubleshooting batch ETL processes.
  • Experience building and supporting high velocity streaming ingestion frameworks.
  • Experience with SQL-based datastores.
  • Experience with NoSQL-based datastores a bonus.
  • The ability to architect and design both streaming and batch use cases in a big data platform.
  • Knowledge of security and cyber telemetry, log feeds and intelligence platforms.
  • Experience with deploying and managing Hadoop environments within AWS is desirable.

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