**What you will do** + Design, build, and maintain automation solutions (primarily **Power Automate** ) to reduce manual effort in evidence workflows. + Implement and maintain **REST API integrations** to connect systems (e.g., DistillerSR, SharePoint, Power BI) and enable seamless, scheduled data flow. + Develop reusable, scalable data pipelines and processes (automated extract ? store ? refresh cycles). + Operationalize agreed data structures; migrate and maintain structured evidence data into controlled, analytics-ready datasets. + Implement processes to monitor data quality, keeping data accurate, traceable, and available for stakeholders. + Build and maintain **Power BI** dashboards from CDS-managed datasets to enable scalable reporting and evidence visibility. + Enable self-service analytics so stakeholders can access insights without ad-hoc requests. + Explore and implement AI-enabled solutions (e.g., agents that transform unstructured clinical report content into structured data). + Identify and eliminate manual, repetitive work; document and maintain solutions across updates. + Help build repeatable ways of working - shared methods, templates, and clear documentation - so solutions are easy to maintain and reuse across teams and time zones. **What you need** _Basic Qualifications_ + Bachelor's degree in a technical or quantitative field (e.g., computer science, data/software engineering, information systems, mathematics, physics, or related). + Approximately 6-8+ years of relevant experience in an IT, data engineering, automation, BI, or systems-/business-analytics role. + Robust hands-on **Power Automate** skills, including **calling REST APIs from Power Automate** .



+ Demonstrated experience building **REST API integrations** between systems. + Proficiency in at least one scripting/programming language, **ideally Python** . + Working knowledge of SQL and core relational data concepts. + Ability to translate technical concepts for non-technical stakeholders and to collaborate effectively across time zones. _Preferred Qualifications_ + Broader **Microsoft Power Platform** experience (Power Apps) and relevant certifications (Microsoft, AWS, Google, IBM). + **Python with PySpark** ; exposure to **Azure, Databricks, or Microsoft Fabric** (data flows / notebooks). + **Power BI** dashboard development. + Data modeling and experience building/optimizing data pipelines and architectures. + Experience with tools/sources such as SharePoint, Oracle, SQL Server, DB2. + Prior experience delivering technical solutions in a **regulated environment** (medical device, pharma, CRO) or with clinical IT systems such as **DistillerSR** . Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.

📌 Lead Data Engineer (Gurugram)
🏢 Stryker
📍 Gurugram