Responsibilities:
· Work closely with clients to understand their business requirements and design data solutions that meet their needs.
· Develop and implement end-to-end data solutions that include data ingestion, data storage, data processing, and data visualization components.
· Design and implement data architectures that are scalable, secure, and compliant with industry standards.
· Work with data engineers, data analysts, and other stakeholders to ensure the successful delivery of data solutions.
· Participate in presales activities, including solution design, proposal creation, and client presentations.
· Act as a technical liaison between the client and our internal teams, providing technical guidance and expertise throughout the project lifecycle.
· Stay up-to-date with industry trends and emerging technologies related to data architecture and engineering.
· Develop and maintain relationships with clients to ensure their ongoing satisfaction and identify opportunities for additional business.
· Understands Entire End to End AI Life Cycle starting from Ingestion to Inferencing along with Operations.
· Exposure to Gen AI Emerging technologies.
· Exposure to Kubernetes Platform and hands on deploying and containorizing Applications.
· Good Knowledge on Data Governance, data warehousing and data modelling.
More Information
- Salary Offer Upto 27 LPA Max
- Address Bangalore
- Total Years Experience 8-10 Years Relevant
- Academic Degree Bachelor's degree