Hiring Elastic search Developer

Cognizant; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cognizant is seeking a skilled engineer in Hyderabad to drive search and analytics solutions using Python, Elasticsearch and FastAPI. The role emphasizes building scalable RESTful services, indexing diverse data sources, and integrating with Azure cloud technologies.

The candidate will work with Java/Spring Boot for microservices, implement AI/ML use cases on Elasticsearch, and collaborate with data engineers to ensure high data quality and performance.

Qualifications

• Strong fundamentals in Python, Elasticsearch, FastAPI.
• Experience indexing data from diverse sources including Databricks and Snowflake.
• Hands-on REST API development and secure coding practices.

Responsibilities

• Query data from Elasticsearch and create REST APIs.
• Build enterprise-grade microservices with Java and Spring Boot.
• Securely develop and maintain RESTful APIs using Java Spring Boot.
• Design APIs with versioning, pagination, error handling and performance in mind.
• Integrate Java services with Elasticsearch and other backends.
• Prototype AI/ML use cases on Elasticsearch to improve relevance and analytics.
• Tune Elasticsearch performance by analyzing queries, indexing, caching, and JVM sizing.
• Create reusable index templates, analyzers, and data pipelines with ETL partners.
• Collaborate with data engineers to optimize data quality and pipelines.
• Guide developers on complex search filtering, aggregations, and query optimization.
• Explore new Elasticsearch features like AI-based relevance tuning and graph capabilities.
• Work with Azure cloud technologies and modern DevOps practices.
• Mentor teams on secure coding, licensing, and open-source compliance.

Skills

Python

Elasticsearch

FastAPI

REST API development

Java

Spring Boot

Cloud Azure

Big Data / Databricks Snowflake

Tools

Git

Bitbucket

JFrog

Job description

Preferred candidate profile :

Skills required:

Job Description :

• Strong fundamentals in Python Elasticsearch, FastAPI Python Scripting and other similar technologies
• High degree of proficiency in custom search and analytics application development using FastAPI and Elasticsearch
• Extensive experience with indexing data from variety of data sources including bigdata systems like Databricks Snowflake

Responsibilities :

• Good hands on experience querying data from Elasticsearch and create REST API
• Working knowledge of Java and Spring Boot for building enterprise grade microservices
• Experience developing securing and maintaining RESTful APIs using Java Spring Boot
• Understanding of API design principles versioning pagination error handling and performance considerations
• Ability to integrate Java based services with Elasticsearch and other backend systems
• Experience implementing AIML use cases on Elasticsearch
• Experience tuning Elasticsearch performance by analyzing query patterns optimizing indexing caching JVM heap size etc to meet SLAs
• Create highly reusable libraries of index templates custom analyzers scripts covering varied datatypes and use cases
• Collaborate with data engineers to construct efficient pipelines ETL jobs to maximize data quality and integrity
• Guide application developers on complex search filtering aggregation requirements and query optimization
• Research and prototype new Elasticsearch feature like AI based relevance tuning Graph capabilities
• Experience in Cloud technologies primarily Microsoft Azure
• Ability to anticipate problems and steer the team towards right direction
• Knowledge of software development lifecycle DevOps build continuous integration deployment tools and standard methodologies
• Experience in working source control management systems like git Bitbucket and managing packages using private registries like Jfrog
• Knowledge of secure coding practices compliance opensource technologies and licensing