Dataiku

Field Engineer

Dataiku

full-time

Posted on:

Location Type: Office

Location: Dubai • 🇦🇪 United Arab Emirates

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Job Level

Mid-LevelSenior

Tech Stack

AnsibleAWSAzureCloudGoogle Cloud PlatformHadoopKubernetesLinuxPythonSparkTerraform

About the role

  • Work with customers at every stage of their relationship with Dataiku, from initial evaluations to enterprise-wide deployments
  • Help customers design, build, validate, and run their Data Science and AI Platforms
  • Understand customer requirements for scalability, availability, and security and provide architecture recommendations
  • Deploy Dataiku in a variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
  • Automate operation, installation, and monitoring of Data Science ecosystem components
  • Collaborate with Revenue and Customer teams to deliver a consistent customer experience
  • Drive technical success as a trusted advisor to customers and internal account teams

Requirements

  • Professional experience with at least one cloud based services (AWS, GCP or Azure)
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
  • Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
  • Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
  • Some experience with Python
  • Grit when faced with technical issues
  • Comfort and confidence in client-facing interactions
  • Ability to work both pre and post sale
  • Some knowledge in Data Science and/or machine learning (desirable)
  • Linux system administration experience (desirable)
  • Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning (desirable)
  • Professional experience or Familiarity with Hadoop environment (Cloudera) is a plus (desirable)
  • Experience with authentication and authorization systems like (A)AD, IAM, and LDAP (desirable)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
cloud servicesKubernetesAnsibleTerraformCloudFormationData WarehousesData LakesPythonSparkHadoop
Soft skills
gritclient-facing interactionspre-salepost-sale