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Spark roles open to India.

Browse remote Spark roles that accept candidates based in India.

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Remote Spark jobs in India with clear eligibility

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This page focuses on remote roles that list India as an accepted candidate location. That matters because many remote jobs still restrict applications by country, timezone, payroll, legal entity, or hiring policy.

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Current search13 Spark roles · Location: India

Showing 13 of 13 roles

Cloud Field Engineering Manager

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

  • Lead
  • AWS
  • Azure
  • GCP
  • +4

Cloud Field Engineer

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Work across the entire Linux stack, from kernel, networking, storage, to applications

  • AWS
  • Azure
  • GCP
  • +3

Alliances Field Engineer

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Understand Ubuntu, Linux, networking and services in real-world environments

  • AWS
  • Azure
  • Kubernetes
  • +4

Engineer, Data

Ensemble Health Partners · Data Science

Eligibility checked
8 accepted countriesCompany-site apply Jul 19

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

  • Middle
  • Azure
  • Python
  • Spark
  • +1
Eligibility checked
7 accepted countriesCompany-site apply Jul 14

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

  • Senior
  • AWS
  • Docker
  • GCP
  • +3
Eligibility checked
10 accepted countriesCompany-site apply Jul 11

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

  • Senior
  • Azure
  • CI/CD
  • LLM
  • +3
Eligibility checked
Broad eligibilityCompany-site apply Jul 5

• AWS or other cloud certifications • Experience with Agile methodologies (Scrum/Kanban) • Knowledge of databases (Oracle or other RDBMS) and data migration tools • Exposure to big data technologies like Hadoop or Spark • Experience

  • Senior
  • AWS
  • Azure
  • Docker
  • +3
Eligibility checked
5 accepted countriesCompany-site apply Jul 5

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

  • Senior
  • AWS
  • Docker
  • GCP
  • +3
Eligibility checked
Broad eligibilityCompany-site apply Jul 4

Design, build and maintain APIs, services and systems and debug production issues across multiple levels of the stack.

  • Middle
  • CI/CD
  • Docker
  • Python
  • +1

Data Engineer

Anteriad · Data Science

Eligibility checked
10 accepted countriesCompany-site apply Jul 2

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

  • Middle
  • AWS
  • Azure
  • Python
  • +2
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