Sr Eng Data Engineering

Job description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Bangalore, Karnataka, India Job Description: Position Summary Johnson & Johnson MedTech is seeking a Sr Eng Data Engineering for Digital Surgery Platform (DSP) in Bangalore, India. Johnson & Johnson (J&J) stands as the worlds leading manufacturer of healthcare products and a service provider in the pharmaceutical and medical device sectors. At Johnson & Johnson MedTechs Digital Surgery Platform, we are groundbreaking the future of healthcare by harnessing the power of people and technology, transitioning to a digital-first MedTech enterprise. With a focus on innovation and an ambitious strategic vision, we are integrating robotic-assisted surgery platforms, connected medical devices, surgical instruments, medical imaging, surgical efficiency solutions, and OR workflow into the next-generation MedTech platform. This initiative will also foster new surgical insights, improve supply chain innovation, use cloud infrastructure, incorporate cybersecurity, collaborate with hospital EMRs, and elevate our digital solutions. We are a diverse and growing team, that nurture creativity, deep understanding of data processing techniques, and the use of sophisticated analytics technologies to deliver results. Overview As a Sr Eng Data Engineering for J&J MedTech Digital Surgery Platform (DSP), you will play a pivotal role in building the modern cloud data platform by demonstrating your in-depth technical expertise and interpersonal skills. In this role, you will be required to focus on accelerating digital product development as part of the multifunctional and fast-paced DSP data platform team and will give to the digital transformation through innovative data solutions. One of the key success criteria for this role is to ensure the quality of DSP software solutions and demonstrate the ability to collaborate effectively with the core infrastructure and other engineering teams and work closely with the DSP security and technical quality partners. Responsibilities Work with platform data engineering, core platform, security, and technical quality to design, implement and deploy data engineering solutions. Develop pipelines for ingestion, transformation, orchestration, and consumption of various types of data. Design and deploy data layering pipelines that use modern Spark based data processing technologies such as Databricks and Delta Live Table (DLT). Integrate data engineering solutions with Azure data governance components not limited to Purview and Databricks Unity Catalog. Implement and support security monitoring solutions within Azure Databricks ecosystem. Design, implement, and support data monitoring solutions in data analytical workspaces. Configure and deploy Databricks Analytical workspaces in Azure with IaC (Terraform, Databricks API) with J&J DevOps automation tools within JPM/Xena framework. Implement automated CICD processes for data processing pipelines. Support DataOps for the distributed DSP data architecture. Function as a data engineering SME within the data platform. Manage authoring and execution of automated test scripts. Build effective partnerships with DSP architecture, core infrastructure and other domains to design and deploy data engineering solutions. Work closely with the DSP Product Managers to understand business needs, translate them to system requirements, demonstrate in-depth understanding of use cases for building prototypes and solutions