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Tier-1 brand, popular data role, mid-level profile, and Bangalore location drive high candidate competition.
Technical skills transfer, but pharma commercial and US-market domain knowledge raise role specificity.
Specific Databricks/PySpark/AWS tooling and pharma data governance increase filter rigidity.
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Drive operational and technical support for US data management including data quality, workflows, and error resolution to ensure stable and trusted data flows.
Lead incident triage and resolution of data processing issues, including business user queries and root cause analysis to reduce time-to-resolution and prevent recurrence.
Define and advocate user-centric data product requirements, manage platform access and roles, and contribute to engineering standards and agile delivery practices.
Bachelor's degree in quantitative field such as Engineering, Operations Research, Economics, Statistics, Applied Math, Computer Science, or Data Science.
Strong technical expertise with Databricks, PySpark, AWS tools (S3, Redshift, Lambda, Glue, EMR), and proficiency in Python coding.
Experience working in a business support or operational data management environment with Agile development experience.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging business needs and technical solutions, capable of defining detailed user stories and acceptance criteria for data products.
Comfortable working in an agile, cross-functional team environment to deliver data products and improve operational processes quickly and reliably.
Has strategic and critical thinking skills with ability to engage and build credibility with Commercial Leadership and cross-functional stakeholders.