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AVEVA PI Engineer / Consultant

Company
Company Cognizant
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary Competitive Package (Best in Industry)
Location
Location Chennai, India
Posted Date
Posted Date Yesterday
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Part Cfr Consulting PI 21 Cfr Gxp Gamp
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Aptitude Practice Questions & Mock Tests Open Resource ↗
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
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Company-Specific Interview Preparation Corner Open Resource ↗
Detailed interview experiences, exam formats, and previous test questions for Cognizant and tech roles.
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Technical Placement Cheat Sheets & Question Bank Open Resource ↗
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
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Algorithm, DSA & Live Code Debugger Practice Open Resource ↗
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Experience: 6-11 Yrs. Open to matching qualifications.

1
Online Assessment / Technical Interview Rounds / HR Review
Job Description AVEVA PI Engineer / Consultant Pharmaceutical Client Job Title AVEVA PI Engineer / Consultant Industry Domain Pharmaceutical / Life Sciences (GxP-regulated Manufacturing) Experience Required 8-15years Employment Type Full-time Location Chennai/Kochi/Coimbatore - Hybrid Role Overview We are seeking an experienced AVEVA PI (OSIsoft PI) Engineer with expertise in the Life Sciences/Pharmaceutical industry to design, implement, and support enterprise historian solutions. The candidate will be responsible for integrating manufacturing, laboratory, utility, and automation systems with the AVEVA PI System to enable real-time monitoring, data integrity, regulatory compliance, process optimization, and digital transformation initiatives. The ideal candidate should possess strong knowledge of pharmaceutical manufacturing processes, GMP regulations, data integrity requirements, and industrial automation systems. Key Responsibilities Design, develop, and maintain PI Data Archive, PI AF (Asset Framework), PI Vision, and PI Interfaces/Connectors to collect, contextualize, and deliver real-time process data. Build and manage AF templates, element hierarchies, event frames, and analyses to model plant assets and business logic. Configure and troubleshoot PI interfaces (OPC DA/UA, Modbus, custom interfaces) for data acquisition from PLCs, DCS, SCADA, and historians. Develop PI Vision displays, dashboards, and PI DataLink/Excel reports for operations, engineering, and management stakeholders. Write and maintain scripts (e.g., PowerShell, Python, PI SDK/AF SDK, PI Web API) to automate data workflows, integrations, and system health checks. Integrate PI System data with other platforms (MES, ERP, SQL/historian databases, cloud data lakes, Aveva Data Hub/Connect). Monitor system performance, data quality, and tag counts; perform capacity planning and license management. Support PI System upgrades, patching, backups, disaster recovery, and high-availability (PI Collective) configurations. Enforce cybersecurity best practices for OT/IT systems, including PI System security (mappings, identities, firewalls). Document architecture, standards, naming conventions, and data governance processes. Collaborate with process/controls engineers to identify new tagging, KPI, and analytics requirements. provide Tier 2/3 support and root-cause analysis for PI System issues.Required Technical Skillset Strong hands-on experience with AVEVA System Platform (Application Server / Galaxy, Historian, InTouch, Web Client / Operations Control). Working knowledge of AVEVA MES / AVEVA Batch Management, or exposure to integrating third-party MES/LIMS/ERP with SCADA layer. Proficiency in OPC UA/DA, Modbus, and native communication drivers for PLC/DCS integration Experience with scripting (QuickScript/VBScript) and object-oriented Galaxy template design. Understanding of network/OT architecture, redundancy, cybersecurity hardening (ISA/IEC 62443 awareness a plus), and virtualization (VMware) for industrial systems. Familiarity with SQL Server/reporting tools for Historian data extraction and dashboarding (AVEVA Insight / Reports is a plus). Pharmaceutical / Regulatory Domain Expertise (Preferred) Sound knowledge of GAMP 5 computerized system validation (CSV/CSA) lifecycle and documentation practices. Working knowledge of 21 CFR Part 11, EU Annex 11, and data integrity (ALCOA+) requirements. Certifications (Preferred) AVEVA PI certification GAMP 5 / CSV training certification. Soft Skills & Other Requirements Strong client-facing communication skills; ability to work directly with pharma quality, validation, and automation stakeholders. Ability to prepare and present technical estimations, proposals, and solution walkthroughs to client/hiring stakeholders. Strong documentation discipline suited to regulated/validated environments. Good analytical and troubleshooting skills for live plant support scenarios.

Cognizant — Software Engineering & Full Stack Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

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COMPANY GUIDE 🎯
Cognizant Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Cognizant and off-campus tech roles.

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MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

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CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

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Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Part, Cfr, Consulting, PI, 21 Cfr, Gxp, Gamp) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Cognizant Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Explain OOP (Object-Oriented Programming) principles with real-world examples in Part. Answer ▼
Model Answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer ▼
Model Answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer ▼
Model Answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer ▼
Model Answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer ▼
Model Answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Why do you want to join Cognizant as a AVEVA PI Engineer / Consultant?
Preparation Tip: Highlight Cognizant's market reputation, recent tech innovations, and how your skills in Part directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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