Hiring for Elasticsearch Architect - ENTERPRISE SEARCH ENGINEER

Zensar Technologies

Pune District

On-site

INR 1,500,000 - 2,400,000

Full time

40 hours ago
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Job summary

Zensar Technologies in Pune invites an experienced Enterprise Search Engineer to lead the development of an AI-augmented enterprise search solution built on Elasticsearch, with robust data ingestion pipelines and hybrid/semantic search capabilities.

You will collaborate with ICT teams to design mappings, connectors for SharePoint, Liferay, databases and Azure Data Lake, and to implement embedding and re-ranking models, LangChain/LlamaIndex or Haystack orchestration for reliable content retrieval.

Qualifications

  • Hands-on experience with Elasticsearch, including query DSL, BM25 tuning, multi-field matching.
  • Design mappings, field types and custom analyzers for different content.
  • Build connectors and ingestion pipelines for SharePoint, Liferay, databases, and Azure Data Lake.
  • Deep understanding of hybrid and semantic search, including lexical and vector search.
  • Proficiency in Python and data processing libraries for data engineering tasks.
  • Experience with embedding models, re-ranking models and prompt engineering for generation.
  • Knowledge of LangChain, LlamaIndex, or Haystack for AI orchestration.
  • Familiarity with tool calling, agentic workflows and multi-step retrieval.
  • First-level University degree in CS and 5+ years of experience.
  • Excellent written and verbal English in multicultural settings.

Responsibilities

  • Lead development of an AI-augmented enterprise search solution using Elasticsearch.
  • Collaborate with ICT teams to deliver a robust search platform.
  • Design data ingestion pipelines and hybrid/semantic search capabilities.
  • Ensure performance, scalability, and security of the platform.
  • Contribute to project success through problem-solving, teamwork and organization.

Skills

Elasticsearch
BM25 tuning
Query DSL
Data ingestion
SharePoint
Liferay
Azure Data Lake
Vector search
Python
LLM orchestration
LangChain
LlamaIndex
Haystack
Agentic workflows
Multi-step retrieval

Education

Bachelors degree in Computer Science

Tools

SharePoint
Liferay
Azure Data Lake

Job description

Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us.

What's this role about?

Short Description

Zensar Technologies seeks an Enterprise Search Engineer to lead the development of an AI-augmented enterprise search solution, leveraging Elastic Search and advanced retrieval techniques.

Description

Under the guidance of the ICT Solutions Coordinator, the Enterprise Search Engineer will collaborate closely with ICT teams to deliver a robust and intelligent search platform. This role involves designing and implementing data ingestion pipelines, building hybrid search capabilities, and creating RAG pipelines for accurate and relevant content retrieval and generation. The engineer will also be responsible for ensuring the platform’s performance, scalability, and security, as well as contributing to the overall success of the project through effective problem-solving, teamwork, and organization skills.

.

  • Proven hands-on experience with Elasticsearch, including query DSL, BM25 tuning, and multi-field matching strategies.
  • Ability to design mappings, choose field types, and configure custom analyzers for different content types.
  • Real-world experience building connectors and ingestion pipelines for SharePoint, Liferay, databases, and Azure Data Lake.
  • Deep understanding of hybrid and semantic search techniques, including lexical and vector search.
  • Proficiency in Python and data processing frameworks/libraries for data engineering tasks.
  • Experience with embedding models, re-ranking models, and prompt engineering for reliable response generation.
  • Knowledge of LLM orchestration frameworks like LangChain, LlamaIndex, or Haystack for AI application orchestration.
  • Familiarity with tool calling, agentic workflows, and multi-step retrieval for complex AI tasks.
  • First-level University degree in Computer Science, Engineering, or related field with 5+ years of professional experience.
  • Excellent written and verbal communication skills in English, with the ability to collaborate effectively in a multicultural setting
Must have skills

:- Hiring for Elasticsearch Architect - ENTERPRISE SEARCH ENGINEER

Experience: 7+years

Location: Pune

Notice Period: Immediate joiners are highly appreciated. and max 15days notice only

Advantage Zensar

We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance. A subsidiary of RPG Group, Zensar has its HQ in India, and offices across the world, including Mexico, South Africa, UK and USA.

Zensar is all about celebrating individuality, creativity, innovation, and flexibility. We hire based on values, talent, and the potential necessary to fill a given job profile, irrespective of nationality, sexuality, race, color, and creed. We also put in policies to empower this assorted talent pool with the right environment for growth.

Learn more about our culture: https://www.zensar.com/careers/who-we-are

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