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Big Data Platform Engineer

  • Location:


  • Sector:

    Big Data

  • Job type:


  • Contact:

    Gregory Bouvier

  • Contact email:

  • Contact phone:


  • Job ref:


  • Published:

    9 months ago

  • Duration:


  • Expiry date:

    22 Oct 00:00

  • Startdate:


For our prestigious client, we are currently looking for a senior Big Data Platform Engineer


Job Purpose

  • With a solid Data Engineering and Data Science background, you are the famous hands-on expert with an extensive track of record in managing modern data platforms such HortonWorks Data Platform and Data Flow, Cloudera Data Hub, Azure Data & AI, AWS stack, Databricks...etc

  • You are passionate about automation and are an excellent full stack developer when it comes to building AI infused business processes and CI/CD pipelines.

  • You are capable of steering the team towards quality while ensuring time to market and total cost ownership are always high up in the priorities list.


Key Accountabilities

  • Perform the installation, configuration, and upgrade of data platforms using Infrastructure as code and configuration as code in SaaS, PaaS, IaaS and/or bare-metal environments, either on premises or in the public cloud.

  • Assume ownership of the data platforms and the underlying architectural principals in a federated “Data Engineering teams as your clients” ecosystem, and provide the agreed level of support to your end-users.

  • Monitor the data platforms and develop remediation scripts to ensure high-availability and disaster recovery.

  • Triage incidents and change requests assigned to the Data Platform team.

  • Ensure data applications adhere to the agreed performance and resilience criteria, and all platform parameters are set for optimal efficiency.

  • Document all Data Platform processes and design elements.

  • Be the Data Platform Product Owner and provide your infrastructure, network, security, governance, CI/CD etc requirements in form of user stories and follow them up with the Data Infrastructure team.

  • Leverage machine learning and process automation and drive cost savings.

English Speaking