D2D: Develop and maintain our company's data infrastructure architecture, including data warehouses and data lakes, to support efficient and effective data management and analysis. Build and maintain robust, scalable, and high-performance data pipelines to extract, transform, and load data from various sources into our data platforms. Develop, manage, and be accountable for the onboarding of new data source, data blending and integration of multiple data sources, building new reports and dashboards, enhancements of existing processes supporting both Commercial and RD functions. Responsible for managing quality of the deliverables. Serve as point of contact for implementation of complex data projects and development of data management technologies. Provide technical expertise and subject matter expertise. Provide risk analysis, business and technical assessment of requests in relation to data platforms. Continuously evaluate new data technologies, tools, and platforms to improve data processing, storage, and analysis capabilities. Optimize and tune data infrastructure and systems for performance, reliability, and scalability. Collaborate with cross-functional teams, including data analysts, data scientists, data stewards and software engineers to ensure data quality, integrity, accuracy, consistency and security across systems and applications.
65-70
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Required Skills & Experience
Must Haves:
4 years of hands-on experience in applications development, Business Intelligence, and advanced analytics with emphasis on Microsoft Azure suite
4 years of hands-on experience with enterprise data warehouse solutions including integration of complex data sources for the deployment of decision support systems
Hands on experience with Informatica Cloud Data Integration (CDI)/Application Integration (CAI)
Data dashboarding and visualization experience with PowerBI
Nice to Have Skills & Experience
Plusses:
1 years Experience with commercial pharmaceutical / business information, Supply Chain, Finance and HR preferred
1 years Experience with Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, Discovery Data etc. preferred
1 years Familiarity with and understanding of key industry best practices in regulated GXP environment preferred
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.