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 https://www.jnj.comJob Function: R&D Product DevelopmentJob Sub Function: R&D Software/Systems EngineeringJob Category: Scientific/TechnologyAll Job Posting Locations: IN022 Hyderabad::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 www.jnj.com.Within J&J Innovative Medicine, the R&D Business Technology team is the strategic information technology partner providing innovative technology solutions that enable Global Development to authoritatively deliver on our portfolio and help provide transformative medicines to patients around the world while proactively improving agility, embracing innovation, and crafting the organization we need to deliver in the future.Clinical Data Management & Analysis is currently seeking a Databricks Senior Developer with a focus on database management, data engineering, and clinical technology to join our Innovative Medicine, R&D Business Technology team located in Hyderabad, India.The Databricks Senior Developer will be responsible for designing, developing, optimizing and platform operations using Databricks & other related technologies, ensuring that our data architecture meets business needs and adheres to our engineering standards, particularly in the context of clinical data and technology.Key Responsibilities:Technical Leadership & Expertise:

• Define and lead all aspects of the overall data engineering architecture and roadmap using Databricks and modern data engineering practices.
• Mentor team members in solving technical challenges related to data pipelines and analytics through hands-on mentorship and support.

Databricks Implementation:

• Design and implement data pipelines using Databricks for ETL processes, leveraging Spark for large-scale data processing and transformation.
• Develop Delta Lake tables and optimize data storage and query performance within the Databricks environment.
• Create and maintain Databricks notebooks for data exploration, analytics, and machine learning model development, ensuring standard methodologies for documentation and collaboration.

Performance Optimization:

• Continuously monitor and optimize the performance of Databricks jobs, ensuring efficient execution of data pipelines.
• Analyze and fine-tune data processing workflows to reduce runtime and enhance performance.
• Develop strategies for optimizing Spark configurations and cluster resources for cost-effective and high-performance data processing.
• Platform Operations:
• Ensure the stability and reliability of the Databricks platform, managing cluster configuration, scaling, and resource allocation to meet workload demands.
• Fix and resolve operational issues within the Databricks environment, collaborating with DevOps teams for seamless integration and deployment.

Collaboration & Communication:

• Work closely with clinical programmers, medical reviewers, data managers central monitors, data scientist, and business customers to understand clinical data needs and collaborate on analytics projects.
• Facilitate communication between technical and non-technical teams to ensure alignment on data solutions and project goals.

Development & Problem-Solving:

• Effectively engage in the development of data pipelines and workflows within Databricks, supporting code reviews and technical discussions.
• Drive testing and deployment of data solutions, ensuring automated testing measures are in place for quality assurance.
• Scale proof-of-concept projects into production environments, ensuring performance, reliability, and maintainability.

Clinical Data Review & Monitoring :

• Leverage experience with clinical data management & clinical data review , including understanding of Clinical trial patient data ( such as CRF data , lab data , IVRS data ) , understanding of SDTM (Study Data Tabulation Model) and Clinical systems, to create efficient data workflows.
• Supervise and maintain clinical data review & monitoring system to ensure stability, performance, and availability of data solutions, proactively addressing system issues and bottlenecks.
• Assist in data migration strategies from legacy clinical systems, ensuring compliance with business rules and data governance standards.
• Handle technical debt and continuously seek opportunities for improvement in clinical data processes and architecture.

Qualifications:Education:

• Bachelorxe2x80x99s degree or higher in Computer Science, Engineering, Mathematics, or a related field.

Experience and Skills:Required:

• At least five(5) years of relevant IT experience, with a strong focus on data engineering and clinical technology.
• Demonstrable experience with Databricks and Spark in building data pipelines and analytics solutions.
• In-depth knowledge of clinical data management, including familiarity with clinical data regulations and systems.
• Proficiency in database technologies (e.g., SQL, NoSQL) and ETL tools.
• Solid understanding of data warehousing concepts and data governance practices related to clinical data.
• Familiarity with cloud services such as AWS, Azure, or GCP in relation to data solutions.
• Experience in implementing AI/ML techniques within data engineering workflows is advantageous.
• Strong SDLC foundations in Agile methodologies and experience in collaborative development environments.
• Experience with programming languages such as Python, SQL, or Scala with experience in code reviews.
• Excellent analytical and problem-solving skills, with a history of delivering data solutions in enterprise settings.
• Good interpersonal skills; ability to convey technical information clearly to team members.

Preferred:

• Knowledge of data visualization tools like Tableau or Power BI is a plus.
• Knowledge of AI implementations especially in area of Generative AI and Agentic AI

Johnson & Johnson