Client : Infosys

Mode: C2H (Experis IT payroll)

NP : Immediate to max 30 days

Mode of Interview : L1 - Virtual, L2 - F2F round

JD

Preferably 6+ (5+ is also acceptable if the profile is good)

Hands on in python.

(FastAPI experience is an advantage)

Knowledge with system designing and entire SDLC.

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.

Good hands-on experience querying data from Elasticsearch and create REST API.

Experience implementing AI/ML 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, open-source technologies and licensing.

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