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Active3d ago

Senior Software Engineer/ Tech lead - SaaS Platform & Product, OSS Product

DataHub·📍 Bengaluru, KARNATAKA, India

Employment

FULL TIME

Work mode

On-site

Experience

8+ years

Salary

Not disclosed

Salary not disclosed

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How Senior Software Engineer demand looks in India

62/100 · steady

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Posted 30d

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+311.8%

Remote share

1.1%

Salary listed

3.4%

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Role overview

Job description

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the job DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source commu

What they are looking for

Skills & requirements

javaci/cdrestaigorustsemleanhr

Department · Engineering

D

Hiring company

DataHub

DataHub, built by Acryl Data, is an AI & Data Context Platform adopted by over 3,000 enterprises including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully-managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance—enabling AI & data to work together and bring order to data chaos.

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