15h Left) Sr Eng Data Engineering

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 https www jnj com Job Function Data Analytics Computational Sciences Job Sub Function Data Engineering Job Category Scientific Technology All Job Posting Locations Bangalore Karnataka India 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 world s leading manufacturer of healthcare products and a service provider in the pharmaceutical and medical device sectors At Johnson Johnson MedTech s 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 for data processing pipelines Operate in SAFe Agile DevOps principles and methodology in building quality DSP technical solutions Author and implement automated test scripts as mandates DSP quality requirements Qualifications Required Bachelor s degree or equivalent experience in software or computer science or data engineering 8 years of overall IT experience 5-7 years of experience in cloud computing and data systems Advanced Python programming skills Expert level in Azure Databricks Spark technology and data engineering Python including Delta Live Tables DLT Experience in design and implementation of secure Azure data solutions In-depth knowledge of the data architecture - infrastructure network components data processing Proficiency in building data pipelines in Azure Databricks Proficiency in configuration and administration of Azure Databricks workspaces and Databricks Unity Catalog Deep understanding of principles of modern data Lakehouse Deep understanding of Azure system capabilities data services and ability to implement security controls Proficiency with enterprise DevOps tools including Bitbucket Jenkins Artifactory Experience with DataOps Experience with quality software systems Deep understanding of and experience in SAFe Agile Understanding of SDLC Preferred Master s degree or equivalent Proven healthcare experience Azure Databricks certification Ability to analyze use cases and translate them into system requirements make data driven decisions DevOps s automation tools with JPM Xena framework Expertise in automated testing Experience in AI and MLs Excellent verbal and written communication skills Ability to travel up to 10 of domestic required Johnson Johnson is an Affirmative Action and Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin or protected veteran status and will not be discriminated against on the basis of disability