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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and optimization of scalable data pipelines and platforms supporting analytics, AI/ML, and reporting for pharmaceutical clients.
Ensure high data quality, system performance, and reliability while managing ETL/ELT processes and data architecture strategies.
Lead and mentor a team of data engineers, overseeing task allocation, code reviews, and project delivery within a global delivery model.
Minimum Requirements
10 years of experience in data engineering or data platforms.
Mandatory experience in Pharmaceutical / Life Sciences domain.
Strong expertise in Python, SQL, and data engineering frameworks; hands-on experience with ETL/ELT tools.
Work Experience Required: 10 years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in pharmaceutical data including commercial and omnichannel analytics, with domain expertise to apply business rules and ensure compliance.
Skilled in cloud platforms (AWS/Azure/GCP), big data technologies, and data governance aligned with regulatory standards like GxP, HIPAA, GDPR.
Proven leadership in managing global, cross-functional teams and driving high-quality, timely project execution with strong stakeholder communication.