Design, build, and optimize cloud data pipelines, dbt models, and complex transformations using Python and SQL. Modernize data warehouses and BI solutions, integrate data sources, develop analytical datasets, and ensure data quality while collaborating with technical teams, analysts, and business stakeholders.
The intern will read and interpret technical engineering documentation while supporting the development of AI solutions using LLMs and RAG. They will also use Python to extract and analyze technical data and validate AI-generated results.
You will act as a trusted advisor to C-level stakeholders to define AI strategies, roadmaps, and high-impact use cases that drive measurable business value. Additionally, you will lead the development of AI Centers of Excellence and guide initiatives from conceptualization through to production.
Design and implement backend services in Java and Spring Boot while migrating legacy business logic from Oracle to a modern cloud-native Azure architecture. Ensure system reliability through automated testing, CI/CD pipeline contributions, and the implementation of robust data migration and reconciliation processes.
The Key Account Manager will cultivate executive relationships and develop strategic account plans to drive growth across enterprise and scale-up clients. They will lead high-impact client engagements, manage commercial negotiations, and coordinate internal teams to ensure the successful delivery of AI and data-driven solutions.
Drive new business growth by identifying and acquiring enterprise clients interested in AI, Generative AI, and Data Engineering solutions. Manage the full sales cycle from initial prospecting and C-level engagement to proposal negotiation and closing.
Drive new business growth by identifying and acquiring enterprise clients interested in AI, Generative AI, and Data Engineering solutions. Manage the full sales cycle from initial prospecting and discovery to proposal development and closing deals.
