Advanced Data Engineer Manufacturing Intelligence (Aveva PI)

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profile Job Location:

Bangalore - India

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

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 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.

Soft skills:

Strong collaboration skills and crosscultural communication; comfortable working closely with colleagues

in Denmark and the US.

Selfdriven proactive and accountable; able to take ownership and deliver independently as well as in a

team.

Robust problemsolving and analytical mindset; able to troubleshoot complex interface/data flow issues

methodically.

Quality and compliance oriented; structured documentation habits aligned with GxP validation practices.

Clear concise communicator—able to translate technical topics for nontechnical stakeholders.

Stakeholder management and expectation setting; builds trust through transparency and followthrough.

Adaptable and organized; prioritizes effectively in fastpaced multiproject environments.

Continuous improvement mindset; eager to learn share knowledge and refine processes/tools.

Attention to detail with a strong sense of integrity and data stewardship.

Fluent in English (spoken and written).

Certifications:

Aveva PI System Infrastructure Specialist Aveva PI System Installation Specialist (preferred)

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 ...
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Key Skills

  • Lean Manufacturing
  • Six Sigma
  • CNC Programming
  • Lean
  • Machining
  • Tooling
  • CAD
  • CNC
  • Assembly Experience
  • SolidWorks
  • Kaizen
  • Manufacturing