Base Career helps you apply smarter for this job.
Key skills for this role
Lead complex engineering design and delivery for Commercial Pharma datasets from Vizag. The role provides technical leadership across Databricks, Informatica IDMC, data modeling, performance tuning, code quality, architecture alignment and engineering best practices.
Recommended Experience: 7–10 years
Lead complex engineering design and delivery for Commercial Pharma datasets from Vizag. The role provides technical leadership across Databricks, Informatica IDMC, data modeling, performance tuning, code quality, architecture alignment and engineering best practices.
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.
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Noida, IND
Bengaluru, IND
Pune, IND
Bengaluru, IND
Noida, IND
Noida, IND
Noida, IND
Gurugram, IND
7–10 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
High-quality technical delivery, reduced rework, better performance, stronger engineering discipline and effective mentoring.
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.
Visit company websiteJobs and hiring trendsFull-time
Senior · 7+ years experience
Onsite
Apply faster on company sites with our extension.