Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where youll step into the role of a Data Engineer working on high-volume, low-latency data platforms powering next-gen GenAI systems, AI agents, and
Line of ServiceAdvisory Industry/SectorNot Applicable SpecialismData, Analytics & AI Management LevelSenior Associate Job Description & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust
Line of ServiceAdvisory Industry/SectorNot Applicable SpecialismData, Analytics & AI Management LevelSenior Associate Job Description & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust
Overview DevOps Engineer Location: Kolkata, India | Remote Job About the Role The DevOps Engineer will be responsible for the continuous integration, automation, and continuous deployment of applications and systems — both internally and externally. Youll
Project Role : Custom Software Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Databricks
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
This role is for one of the Weekdays clients Salary range: Rs 800000 - Rs 2000000 (ie INR 8 - 20 LPA) Min Experience: 5+ years Location: Bengaluru, Hyderabad, Telangana, India, Pune, Kolkata, West Bengal, India,
Job Description Role: Project Manager - Data Engineering / Technical Project Manager Engagement Type: Full-Time Employee (FTE) Location: Work from Office – Indiranagar, Bengaluru Experience: 5+ Years Company: Nu10 Technologies We are looking for a Technical
Objective / Purpose: The Clinical Data Enablement Senior Manager FSP is responsible for operating and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role builds scalable ingestion and transformation