Lead Data Engineer

Thermo Fisher Scientific · Karnātaka, India

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IT & SoftwareFull timeCompany career page

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Role summary

Thermo Fisher Scientific seeks a Lead Data Engineer to architect and manage enterprise data pipelines across their full lifecycle. The role requires expertise in cloud data platforms, healthcare data compliance, and AI-assisted automation to build scalable ETL solutions handling sensitive PHI/PII data.

What they're looking for

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field
7+ years of data engineering, ETL development, and cloud platform experience
Advanced proficiency in PySpark, Python, SQL, and AWS data services
Demonstrated experience with healthcare or regulated data environments and production pipelines
Knowledge of PHI/PII security practices, data governance, and healthcare data standards
CI/CD, GitHub workflows, and automated testing for data pipeline release management

What you'll be doing

Design, develop, and operate scalable ETL pipelines using PySpark, Python, SQL, and AWS services
Own end-to-end data pipeline lifecycle from requirements through roadmap planning and production support
Build ingestion and transformation pipelines from multiple data sources including databases, APIs, and healthcare systems
Implement secure handling of PHI/PII data with encryption, access controls, and compliance mechanisms
Lead technical design, mentor engineers, and guide cross-functional delivery decisions

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Date posted8 days ago

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