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Current search9 Spark roles · Location eligibility

Showing 9 of 9 roles

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

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
Hiring from IndiaCompany-site apply Jul 13

Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.

  • Senior
  • Azure
  • CI/CD
  • REST
  • +2

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

Staff Software Engineer

ADI Group · Developer

Eligibility checked
Hiring from MalaysiaCompany-site apply Jul 11

Work with cross-functional teams in product, data science, sales and finance to achieve business goals and contribute to product strategy Provide mentorship, coaching and career development guidance to members of the team Build and

  • Senior
  • AWS
  • Azure
  • CI/CD
  • +7
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
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