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Tier-1 biotech, mid-level data role in Hyderabad with common Databricks/PySpark skills increases applicant competition.
GxP-regulated clinical data focus and specialized tooling reduce cross-industry transferability.
Mandatory 5-8 years plus GxP clinical experience and Databricks/PySpark/AWS skills enforce strict filters.
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Analyze and document business and technical requirements for clinical data and analytics systems.
Develop, deploy, and maintain large-scale clinical data pipelines and analytics solutions using Databricks, PySpark, Python, and SQL.
Collaborate with product managers, business stakeholders, and global teams to deliver reliable and performant clinical data systems and support production issues.
5 to 8 years experience in Life Science, Biotechnology, Pharmacology, or Information Systems.
Experience in clinical domain with GxP-regulated computer system validation (CSV) environments.
Hands-on experience with Databricks, AWS, PySpark, Python, and SQL for enterprise data solutions.
Experience working in Agile development environments, including Scrum and SAFe methodologies.
Strong technical skills in developing and supporting clinical data pipelines and ETL processes in regulated environments.
Proven experience translating clinical business needs into technical requirements and delivering scalable analytics solutions.
Ability to work effectively with global teams across time zones in a collaborative, Agile environment managing multiple priorities.