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Data Engineer ( Databricks+ Cloud + ML Ops )

Spectral Consultants

India · On-site Full-time Mid Level Today

About the role

Immediate Joiners Preferred

Immediate Joiners are preffered

Experience Required

Exp required - 1-3 Years

What You’ll Do

  • Manage Databricks (workspaces, clusters, jobs)
  • Build, run, and monitor cloud data pipelines (AWS/Azure/GCP)
  • Ensure pipeline reliability, scalability, and performance
  • Support MLOps (deploy, monitor, manage models)
  • Troubleshoot pipelines, data, and deployments
  • Use GitHub for version control and CI/CD best practices
  • Collaborate with stakeholders and deliver clear insights
  • Prioritize tasks and support ad-hoc analysis

What You’ll Bring

  • Strong Databricks and cloud pipeline experience
  • Hands-on MLOps and debugging skills
  • Proficiency in Git/version control
  • 1–5 years in data/analytics/ML roles
  • Solid analytical and problem-solving skills
  • Ability to create clear, executive-ready

Requirements

  • Strong Databricks and cloud pipeline experience
  • Hands-on MLOps and debugging skills
  • Proficiency in Git/version control
  • Solid analytical and problem-solving skills
  • Ability to create clear, executive-ready summaries

Responsibilities

  • Manage Databricks (workspaces, clusters, jobs)
  • Build, run, and monitor cloud data pipelines (AWS/Azure/GCP)
  • Ensure pipeline reliability, scalability, and performance
  • Support MLOps (deploy, monitor, manage models)
  • Troubleshoot pipelines, data, and deployments
  • Use GitHub for version control and CI/CD best practices
  • Collaborate with stakeholders and deliver clear insights
  • Prioritize tasks and support ad-hoc analysis

Skills

AWSAzureDatabricksGCPGitHubGitMLOps

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