Associate Lead - Pricing

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 jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Johnson & Johnson is recruiting for Global DS Commercial Strategy & Insights Team, an experienced Data Engineer Lead / Architect to design, develop, migrate, and optimize scalable data pipelines and warehouse solutions. The role requires advanced SQL and Python expertise, strong knowledge of data architecture and ETL frameworks, and hands-on experience with Amazon Redshift. The individual will provide technical leadership and ensure data solutions are reliable, secure, high-performing, and ready for analytics and reporting.

• →Design and develop scalable SQL- and Python-based ETL/ELT pipelines.
• →Build Python scripts and reusable modules for data ingestion, transformation, validation, automation, and monitoring.
• →Define pipeline architecture covering partitioning, incremental loads, change data capture, job dependencies, and error handling.
• →Prepare pipeline designs, source-to-target migration mappings, transformation specifications, and reconciliation logic.
• →Analyse query execution plans and optimize complex SQL queries, Python processes, and ETL performance.
• →Implement CI/CD practices for data pipelines, Python code, SQL code, and environment-aware deployments.
• →Apply secure authentication and secrets-management patterns, including service accounts.
• →Lead technical design reviews, troubleshooting, documentation, and engineering best practices.
• →Collaborate with analytics, visualization, infrastructure, and business teams.
• →Organized, detail-oriented, with strong problem-solving skills and a solutions-first mindset.
• →Proactive approach & Ability to prioritize and support multiple projects simultaneously

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• 3+ years working experience in any data engineering and analytics related roles
• Proven experience in data engineering, data warehousing, ETL development, data migration, and Python-based automation.
• Hands-on experience developing and supporting production-grade data pipelines using SQL and Python.
• Experience working with large datasets and cloud-based data warehouse environments.
• Strong analytical, problem-solving, documentation, and stakeholder-management skills.

Technical skills (must-haves)

• Advanced SQL, including complex joins, CTEs, window functions, explain plans, and performance tuning.
• Strong Python experience for data processing, ETL development, automation, testing, and troubleshooting.
• Hands-on experience with AWS, Amazon Redshift and SQL-based ETL/ELT frameworks.
• Knowledge of data modelling, incremental loads, CDC, partitioning, and referential integrity.
• Familiarity with Git, CI/CD, Shell scripting, service accounts, and secrets management.