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Key skills for this role
Build, maintain and support data ingestion, transformation and validation pipelines for Commercial Pharma datasets. The role requires strong SQL, Python/PySpark, Databricks and Informatica IDMC skills to deliver reliable, scalable and governed commercial data assets.
Build, maintain and support data ingestion, transformation and validation pipelines for Commercial Pharma datasets. The role requires strong SQL, Python/PySpark, Databricks and Informatica IDMC skills to deliver reliable, scalable and governed commercial data assets.
The role is part of a Vizag-based delivery capability supporting Commercial Pharma datasets across global markets. The work may include platform operations, data engineering, data quality, reporting, AI enablement, release governance and stakeholder support for enterprise commercial data products. The role is not limited to Japan-specific datasets; Japan market familiarity may be useful but is not a mandatory baseline requirement for most positions.
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3–6 years of relevant experience aligned to the role and seniority level.
Prior experience in pharmaceutical, life sciences, healthcare analytics, commercial data platforms or enterprise data programs.
Experience working in a global delivery model with structured governance, documentation, SLAs and stakeholder communication.
Ability to work from Vizag and collaborate effectively with India, global and client teams.
Pharmaceutical commercial data platforms
Sales, prescription, claims, CRM and omnichannel datasets
Customer master, HCP/HCO, product master, territory and alignment datasets
Commercial KPIs, field force effectiveness, market share and promotional effectiveness
Data quality, reconciliation, lineage, metadata and controlled release processes
Reliable pipelines, strong data accuracy, reusable code, lower defects and timely delivery of enhancements.
First 30 days: complete onboarding, understand commercial data landscape, delivery processes, documentation standards and role-specific tools.
First 60 days: independently contribute to assigned workstreams, support issue resolution, produce required artifacts and participate in governance forums.
First 90 days: demonstrate measurable ownership, improve delivery quality, identify improvement opportunities and support stable operations or project outcomes.
Provider of cloud-based software and data analytics for life sciences.
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Mid · 3+ years experience
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