Job Title: Data Engineer Level: Senior Consultant Experience: 3-6 Years Location: Mumbai and Ahmedabad Role Summary The Data Engineer role focuses on the design, development, and maintenance of scalable, reliable, and high-performance data platforms. The role requires strong hands-on
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something
Job Description: Work Location: Client Office, Delhi (candidate must be open to working from client office in Delhi. Key Responsibilities • Design and architect end-to-end Data Lake solutions, including ingestion, storage, processing, and consumption layers • Define data architecture
FEQ425R229 As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to
Job Title:Associate Vice President Work Type:Permanent Location:DLF Downtown, Sector 25A Phase 3, Block 3 It’s more than a career at NAB. It’s about more meaningful work, more global opportunities and more innovation beyond boundaries . Your
About the Role: We have transitioned from a traditional, reactive WFM department into a proactive, AI-powered Resource Orchestration Center (ROC) organization. Operating as the Enterprise Brain of our 1,000-agent, 24/7 global travel operation, we rely on
Lead and manage large-scale Data Engineering and Data Modernization projects.Hands-on experience in managing Data projects end-to-end — effort estimation, scoping, project plan, timelines, team allocation, stakeholder management Drive end-to-end delivery of Data Lake build and migration initiatives.Hands-on experience with
Job Title: Data Engineer Level: Senior Consultant Experience: 3-6 Years Location: Mumbai and Ahmedabad Role Summary The Data Engineer role focuses on the design, development, and maintenance of scalable, reliable, and high-performance data platforms. The role requires strong hands-on