Data Analyst

Cognizant is hiring a Data Analyst in Chennai to build Python data pipelines and generative AI workflows using LLMs, LangChain, LangGraph, and Model Context Protocol integrations. The role is listed for experienced candidates, so freshers should apply only with strong project portfolios.

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Technical

1. How do you handle data cleaning and missing values using Pandas in Python?
2. Can you explain how you would design a LangChain chain or agent to query internal structured data?
3. What are the differences between standard data pipelines and generative AI workflows involving LLMs and context management?

Scenario

1. What would you do if an LLM-based workflow started returning hallucinations or incorrect summaries for enterprise data?
2. How would you troubleshoot a bottleneck in a Python data pipeline processing large volumes of unstructured data?

HR

1. Can you walk us through a complex data analytics or generative AI project you built during your studies or past work?
2. How do you manage your time while working in a hybrid team setup balancing development and stakeholder communication?

About Cognizant

1. How does Cognizant leverage generative AI and enterprise data solutions to add value for its global clients?

Practice questions written from the job listing, not this company's real interview questions.

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