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Junior Implementation Engineer - Big Data & Analytics

Resumen del puesto
Salario: No especificado
Fecha de inicio: 11 de marzo de 2024
Teletrabajo ocasional
Experiencia: > 1 año
Formación: Licenciatura / Máster
Competencias y conocimientos
Competencias técnicas


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El puesto

Descripción del puesto


This involves closely working with client’s internal teams to drive growth and address concerns efficiently: 

  • Integrate our solution in client infrastructure, at the multiple steps of the sales process (POC / Test / Production). Clients could use servers, VM, clouds (aws, azure, gcloud), and you must be able, with the help of the teams and our experience, to adapt to that,
  • In charge of data pipeline within Opensee Solution at clients from ingestion to vizualisation,
  • Fine tune the solution to ensure the best performances,
  • Support Client ingesting large quantities of data in a timely manner,
  • Supporting client with every product features,
  • Troubleshoot the system with every problem encountered on all product aspects (deployment, component wealthness, API)  during integration project on all client environments ( Staging, UAT, Production) 
  • Ensure client production and SLA respect,
  • Manage the SaaS platform offered by Opensee to its clients,

We also have a CLI written in go, to deploy and manage our platform on bare-metal servers and kubernetes (something like aws-cli). Your role will be to improve, expand and stabilize this CLI, that is used by us, and our clients.Y ou will also take part of the Ops part of our infrastructure, that is used for CI/CD/CT and demo.

Keywords: BigData,  linux, bash , python pandas, ops, devops, database, docker, kubernetes



  • Interest : You like to have your hands dirty from systemd to CI/CD pipelines passing by firewalls and ssh tunnels on multiple environments? Come talk to us.
  • Qualities : Great communication and negotiation skills; Autonomy AND Team working ; Creativity, Problem-solving mindset, Proactive, Troubleshooting
  • Prior experience : Integration, Implementation or Support Engineer, Ops / DevOps experience (on-premise or in cloud) a plus.

Technical skills:

  • Unix systems / Bash / networks
  • Big data / Distributed databases / SQL / Python (numpy, pandas)
  • Docker / Kubernetes
  • Scripting / Analyzing / Optimizing in the context of Tera or Peta scale data
  • Testing, Deployment logics, Hardware specifications, Integration, Debugging and troubleshooting logics

Language skills: Fluent in English both written and verbal, French is a plus 

Working conditions 

  • Multiple full-time positions
  • Duration : permanent contract
  • Salary : Competitive, profile based
  • Location : London based

How to apply

Send us your resume and a brief description of why you are interested in joining us, and we will come back to you very shortly!

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