Location:Bangalore, India
Seniority:5-8 years
Department: Manufacturing Intelligence (Data Platforms)
How you might spend your days (Main Roles & Responsibilities):
As a PI Engineer, you'll be working with a dynamic, multi-disciplinary team where your daily responsibilities
include, but are not limited to:
Install, configure, and maintain PI Data Archive, PI Asset Framework, and various PI Interfaces (e.g., PI
800xA, PI Batch Interface, PI to PAS-X Interface, PI BMI Interface , PI RDBMS Interface).
Configure and validate PI interfaces for integration with automation and IT systems.
Execute and document validation protocols (IV/OV, IQ/PQ/OQ, FAT/UAT) to ensure compliance.
Troubleshoot and optimize PI system performance, including interface connectivity and data flow.
Collaborate closely with colleagues in Denmark and the US to deliver project milestones.
Leverage TIMS/HP-ALM/Testing tool for test management and documentation.
Apply your pharma industry understanding and GMP knowledge to deliver high-quality
documentation and validation protocols.
Apply basic knowledge of firewalls, networks, and ports to support secure data integration.
Utilize basic SQL and PowerShell for data extraction and automation tasks (preferred).
Act as a strong team player and self-driven contributor in interdisciplinary project teams.
Who you are (Preferred Competencies)
We care about who you are as a person. In the end, how you work, and your energy is what impacts the effort
we do as a team. As a person, you:
Are a strong team player with a collaborative mindset and a drive to get things done.
Are self-driven, proactive, and eager to make a difference in a global team.
Thrive in a dynamic, cross-disciplinary environment with colleagues across Denmark, the US, and India.
Have robust problem-solving skills and an analytical mindset.
Are enthusiastic about learning and sharing knowledge in the field of manufacturing intelligence and
automation.
The miles you've walked (Education and Work Experience)
In all positions there are some things that are needed, and others a bonus. We believe these qualifications are needed for you to do well in this role:
B. Tech/B.E./M. Tech within IT, Engineering, or equivalent work experience
You have minimum 3 years of experience within pharma/biotech or life science industry
You have experience with large engineering projects in the industrial and or life-science sectors, experience
in pharmaceutical industry is an advantage
You have experience with GMP, data historian systems, data collection and reporting in the life science
industry.
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