**Why join Stryker?**:Our total rewards package offering includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards - not to mention various social and recreational activities, all of which are location specific.**Know someone at Stryker?**:**Who we Want**:- ** Collaborative partners.** People who build and leverage cross-functional relationships to bring together ideas, data and insights to drive continuous improvements across the business.- ** Motivated product launchers.** People who bring strategic direction and drive for execution to ensure products are developed and launched with precision.- ** Self-directed initiators.** People who take ownership of their work and need no prompting to drive productivity, change, and outcomes.- ** Analytical problem solvers**. People who go beyond, by identifying root causes, evaluating optimal solutions, and recommending comprehensive solutions to prevent future issues.**What you will do**:- Architect and maintain scalable data management systems, embracing Azure Data Factory and beyond.- Craft and optimize data processes and pipelines, ensuring robustness and efficiency.- Guarantee system architecture meets scalability, reliability, security, and performance standards.- Collaborate with cross-functional teams, providing data solutions and support.- Innovate with analytics tools to offer insights on key business metrics, fostering a data-driven culture.- Design and deliver data tools, empowering the analytics and data science teams to lead our industry.- Uphold strict data governance and security protocols.**What you need**:- Bachelor's in Computer Science, Engineering, or related field. Master's preferred.- Expertise in data modeling, ETL, and warehousing. Familiarity with Hadoop, Spark, Kafka is a bonus.- Strong project management skills, with a knack for clear communication.- Proficiency in English required; bilingual abilities (Spanish) are an asset.**Run Support**- Data management. API development. Conversion to SQL tables- Ensure uptime of PV oData, SQL data sources. POC and ownership of data failure resolution. Working with Stryker PV team and PV developers. Service ticket creation and resolution.- Data loading governance. PV, SN, WD, etc.- Data normalizing, calculated data parameters- Manage user groups, custom report sharing.**About Stryker
