Associate Lead - Pricing

Johnson & Johnson · Maharashtra, India

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CommercialFull-timeCompany career page

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Role summary

Johnson & Johnson seeks an experienced Data Engineer Lead to design and optimize scalable data pipelines and warehouse solutions for the global commercial strategy team. The role combines advanced SQL and Python expertise with cloud data architecture, supporting analytics and reporting across the organization.

What they're looking for

Bachelor's degree in computer science, information technology, engineering, or related field
3+ years data engineering, data warehousing, or analytics-related roles
Advanced SQL with complex joins, CTEs, window functions, and performance tuning
Strong Python for data processing, ETL development, automation, and testing
Hands-on production-grade experience with AWS, Amazon Redshift, and SQL-based ETL/ELT frameworks
Knowledge of data modeling, incremental loads, CDC, partitioning, and referential integrity
Familiarity with Git, CI/CD pipelines, shell scripting, and secrets management

What you'll be doing

Design and develop scalable SQL and Python-based ETL/ELT pipelines for data ingestion and transformation
Define pipeline architecture including partitioning, incremental loads, change data capture, and error handling
Optimize query execution plans and complex SQL and Python processes for performance
Implement CI/CD practices and secure authentication patterns for data pipeline deployments
Lead technical design reviews and collaborate with analytics, infrastructure, and business teams

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Date posted4 days ago

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