Specialist, Data- Software Engineering

Job DescriptionSpecialist Data Engineer- Software DevelopmentThe OpportunityBased 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. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates 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 companys’ 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 to ensure we can manage and improve each location, from investing in 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. And 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 Design, develop, and maintain scalable data engineering solutions, backend services, and AI-powered applications that support enterprise business needs. Collaborate with cross-functional teams to deliver secure, cloud-based data, integration, and GenAI solutions while ensuring high standards of code quality, performance, and reliability. Contribute to the full software development lifecycle, including system design, DevSecOps practices, deployment, and continuous improvement in an Agile environment.What you would do:1. Data Engineering with Software Development Experience·       Design, build, and maintain data pipelines, ingestion workflows, and transformation processes that support scalable enterprise data solutions·       Develop and support data services, APIs, and backend components to enable reliable data access and integration across enterprise systems·       Work with structured and unstructured data and ensure smooth integration between data platforms, backend services, and user-facing applications where needed·       Write clean, efficient, and well-documented data processing and application code following engineering best practices·       Participate in code reviews, debugging, performance tuning, and refactoring across data engineering and supporting software components2. AI Agent & GenAI Development ·       Design and implement AI-powered features and intelligent workflows within applications ·       Contribute to the development and integration of AI agents, chatbots, copilots, and automation flows ·       Apply prompt engineering techniques and support LLM-based solutions ·       Work with AI libraries and frameworks such as OpenAI APIs, Anthropic SDK, LangChain, or similar tools ·       Collaborate on use cases involving retrieval-augmented generation (RAG), search, and structured/unstructured data integration 3. Data & System Integration ·       Integrate applications with internal and external APIs, enterprise platforms, and data engineering ecosystems to support scalable enterprise solutions·       Implement data ingestion, transformation, retrieval, and search workflows that enable reliable reporting, analytics, and AI-driven use cases·       Ensure reliable integration between back-end services, and AI services 4. Cloud, DevOps & Deployment ·       Deploy and support applications in cloud environments such as AWS or Azure ·       Contribute to CI/CD pipelines, automation, and release processes ·       Assist with monitoring, troubleshooting, and operational support in lower and production environments 5. Collaboration & Delivery ·       Work closely with architects, Tech Leads, product owners, and cross-functional teams ·       Participate actively in Agile ceremonies including sprint planning, stand-ups, retrospectives, and demos·       Translate business requirements into scalable data and AI solutions for enterprise use cases6. DevSecOps Engineering & Secure Platform DevelopmentDesign, build, and maintain secure, scalable CI/CD pipelines integrating automated security checks, testing, and deployment processesImplement Infrastructure as Code (IaC) and configuration management to provision and manage secure environments across cloud platformsEmbed security-by-design principles across application, data, and platform layersDevelop and maintain automation scripts and tooling to improve build, release, and operational efficiencyPerform code reviews, vulnerability assessments, and remediation across application and infrastructure components What you should have :·       3+ years of experience in software development or data engineering, with strong exposure to building enterprise-grade data and application solutions·       Proficiency in one or more programming languages such as Python, Java, JavaScript/TypeScript ·       Strong understanding of back-end development, including API design and integration ·       Experience building scalable, maintainable, and well-documented code ·       Hands-on experience with testing, debugging, and code reviews ·       Hands-on experience implementing AI or LLM-based solutions in enterprise settings, including prompt engineering and practical business use cases·       Familiarity with AI tools and frameworks such as OpenAI APIs, LangChain, or similar ·       Understanding of AI-powered use cases such as chatbots, copilots, automation flow