Azure Data Engineer || Hybrid, Basking Ridge, NJ (Must be local to NJ) || Must Have Pharmaceutical Client

Title:               Azure Data Engineer
Location:       Hybrid, Basking Ridge, NJ (Must be local to NJ)
Duration:      6+ Months
MOI:               Phone then Video

Visa:               No H1B

Must Have Pharmaceutical Client


Must Haves:
4 + years of hands-on experience in applications development, Business Intelligence, and advanced analytics with emphasis on Microsoft Azure suite (data factory)
4+ years of hands-on experience with enterprise data warehouse solutions including integration of complex data sources for the deployment of decision support systems
Data dashboarding and visualization experience with PowerBI
1+ years’ Experience with commercial pharmaceutical / business information, Supply Chain, Finance and HR OR 1+ years’ Experience with Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, Discovery Data etc. (Pharma exp R&D or Commercial)
Spark and data bricks exp


Plusses:
1+ years Familiarity with and understanding of key industry best practices in regulated “GXP” environment preferred
Hands on experience with Informatica Cloud Data Integration (CDI)/Application Integration (CAI)


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.

 

 

Thank You!

Udit Dabas| Recruitment Lead

D: 215-278-8860

First Ring Solutions LLC | Philadelphia, PA 19102

 

Note: Due to high volume of calls, I may miss your call, email is the better way to reach me, Kindly co-operate…

 

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