Integration Engineer, Data Context Layer

About the role

Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps ensure we can manage and improve each location, from investing in the growth, success, and well-being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview This role is part of a broader enterprise initiative to establish a Data Context Layer (DCL) - a foundational capability designed to provide consistent, reusable, and scalable context across enterprise data products. The DCL is intended to address challenges related to data fragmentation, lack of shared semantics, and inconsistent interpretation of data across systems and products . It establishes a unified layer for representing context, relationships, and meaning, enabling downstream products to operate with greater consistency, interoperability, and intelligence. In addition, the DCL plays a critical role in enabling agentic AI capabilities across the enterprise by providing the structured context and semantic grounding required for intelligent agents to operate reliably. This includes ensuring that agent-driven workflows and decisions are based on consistent, governed, and interpretable data context , reducing risks associated with fragmentation, ambiguity, and lack of control. Within this initiative, we are seeking an Integration Engineer with strong experience in AWS cloud technologies to design, build, and maintain secure, scalable integrations between enterprise systems, APIs, data platforms, and context services. This role focuses on connecting source systems, platform services, and downstream consumers so that enterprise data context can be delivered reliably and consistently across the organization. The ideal candidate has hands-on experience building integrations in cloud environments, working with APIs, event-driven patterns, and operational workflows. Familiarity with data context, semantic systems, ontologies, agentic AI, prompt engineering, and context engineering is preferred, as these integrations may support both traditional application workflows and AI-enabled use cases. What will you do:

Responsibilities

• Design, implement, and maintain integrations between enterprise systems, APIs, and platform services using AWS cloud technologies.
• Build integration patterns for: system-to-system communication
• event-driven messaging
• batch and near-real-time data movement
• context publishing and consumption
• secure service orchestration
• Partner with API engineers, platform teams, data engineers, and architects to ensure integrations align to enterprise standards.
• Support connectivity between source systems, context pipelines, semantic services, and downstream applications.
• Ensure integrations are reliable, secure, observable, and production-ready.
• Troubleshoot integration issues and support operational monitoring and incident response.
• Work with CI/CD pipelines and deployment automation to support repeatable release processes.
• Implement authentication, authorization, retry, error handling, and resilience patterns.
• Document integration designs, interfaces, data mappings, and operational support procedures.
• Help enable both conventional enterprise workflows and agentic AI workflows that depend on timely and trusted context delivery.
• What should you have
• Required Qualifications
• 5+ years of experience in integration engineering, software engineering, data engineering, or related technical roles.
• Strong hands-on experience with AWS cloud technologies .
• Experience integrating systems through APIs, messaging, middleware, or event-driven architectures.
• Familiarity with enterprise integration patterns, data movement, and service orchestration.
• Experience with

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