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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

Candidate locationIndiaStack focusSparkMira checkCountry eligibility

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.

Use Spark as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.

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Filtered roles

Curated by Mira Market intelligence
Current search4 Spark roles 路 Location: India
Search: "DevOps AWS"Location: IndiaStack: SparkLocation: North AmericaApply path: Company-site applyClear all

Showing 4 of 4 roles

Mira top pick

Senior Software Engineer (Data Platform)

Globalization Partners

Eligibility checked Fresh this week
2 accepted countriesCompany-site apply Jul 23

Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.

  • Senior
  • Spark
2 accepted countriesView role

Engineer, Data

Ensemble Health Partners 路 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
8 accepted countriesView role

Sr. ML Engineer

Fusemachines

Eligibility checked
Broad eligibilityCompany-site apply Jul 13

Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.

  • Senior
  • AWS
  • Azure
  • CI/CD
  • +7
27 accepted countriesView role
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
10 accepted countriesView role
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