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Key skills for this role
Candidate should have 13+ years of prior experience in delivering customer focused Cloud Data Management solution(s): Enterprise Data Warehouse, Enterprise Data Lake, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms ( AWS/AZURE), SaaS/PaaS based solutions in the Life Science industry.
Candidate must have prior hands-on working experience in technologies such as AWS Cloud services, Snowflake, Redshift, ETL tools like Informatica/Matillion, Python with strong fundamentals in Enterprise Data Management, Data Warehousing, Data Governance and Data Modelling concepts.
Should have prior experience in driving Cloud Data Management solutions across Pharma Commercial data domains like Retail and Non-Retail Sales, Patient data, Digital Marketing Data.
Must have a very good understanding of end-to-end pharma commercial landscape covering both enterprise and syndicated data sets.
Location: Pune
Candidate should have 13+ years of prior experience in delivering customer focused Cloud Data Management solution(s): Enterprise Data Warehouse, Enterprise Data Lake, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms ( AWS/AZURE), SaaS/PaaS based solutions in the Life Science industry.
Candidate must have prior hands-on working experience in technologies such as AWS Cloud services, Snowflake, Redshift, ETL tools like Informatica/Matillion, Python with strong fundamentals in Enterprise Data Management, Data Warehousing, Data Governance and Data Modelling concepts.
Should have prior experience in driving Cloud Data Management solutions across Pharma Commercial data domains like Retail and Non-Retail Sales, Patient data, Digital Marketing Data.
Must have a very good understanding of end-to-end pharma commercial landscape covering both enterprise and syndicated data sets.
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Technical Expertise: Proven hands-on experience with AWS cloud services, Snowflake, Redshift, and ETL tools such as IICS or DBT. Strong proficiency in Python and solid fundamentals in Enterprise Data Management, Data Warehousing, Data Governance, and Data Modeling.
Domain Knowledge: Prior experience implementing Cloud Data Management solutions within pharmaceutical commercial data domains, including Retail and Non-Retail Sales, Patient Data, and Digital Marketing Data.
Industry Understanding: Deep understanding of the end-to-end pharma commercial ecosystem, spanning both enterprise datasets and syndicated data sources.
Results-Driven: Highly self-motivated with the ability to take initiative, set priorities effectively, and pursue tasks with determination and a strong sense of ownership.
Customer Focus: Committed to meeting and exceeding expectations of both internal and external stakeholders.
Strong Problem-Solving Skills: Able to apply structured thinking, rigorous logic, and analytical methods to develop effective solutions for complex challenges.
Continuous Learner: Learns quickly when confronted with new problems and demonstrates versatility and persistence in acquiring new knowledge and skills.
Provider of cloud-based software and data analytics for life sciences.
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Senior · 13+ years experience
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