Associate Lead - Pricing

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Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 .

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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.

Job Function:
Marketing

Job Sub Function:
Marketing Insights & Analytics

Job Category:
Professional

All Job Posting Locations:
Pune, Maharashtra, India

Job Description:
Associate Lead - Pricing (Data Engineer)

Location: Pune

Reports to: DS Commercial Strategy & Insights Team

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes.

The process of the planned separation is anticipated to be completed by June 2027, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.

Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans.

In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

Responsibilities & Scope

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.

Key Responsibilities



* 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 lo...