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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.