Director of Engineering (Data Infrastructure)
Bengaluru, IndiaIndia & South Asia
In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible.
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582 jobs found
Bengaluru, IndiaIndia & South Asia
In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible.
India LocationsIndia & South Asia
As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe.
Bangalore, IndiaIndia & South Asia
Glean is looking for a Supply Chain Security Engineer with a primary focus on ensuring that our entire technology stack is free of software vulnerabilities (CVEs).
Türkiye’de büyüyen ekibimizin bir parçası olacak Sürücü Operasyonları Çağrı Elemanı arıyoruz! Türkiye’de büyüyen ekibimizin bir parçası olacak Sürücü Operasyonları Çağrı…
French
As a Complaints Analyst on the Global Complaints team within Customer Experience, you'll investigate and resolve consumer, regulatory, and litigation support complaints…
Bangalore, KarnatakaIndia & South Asia
As a Data Scientist 3(Operations Research), you will own a workstream within Valmo network design — not just a model.
Faridabad, HR, IndiaIndia & South Asia
Go To market approach for market intelligence with respect to product and pricing information to develop better price positioning and build Business Intelligence from…
Manager Data Reliability Engineer will be accountable for designing, deploying, and managing our complex cloud-based data systems.
Mandarin (a plus)
Lalamove is looking for an experienced Risk Analyst to support our Risk team in Hong Kong.
As an Delivery Manager, you will be leading a team to build a highly-scalable and extensible big data platform that provides the foundation for collecting, storing…
Bangalore, KarnatakaIndia & South Asia
When 5% of Indian households shop with us, it’s important to build data-backed, resilient systems to manage millions of orders every day.
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet