What are the responsibilities and job description for the Python Full Stack Engineer position at Diverse Lynx?
Role:- Python Full Stack Engineer
Location- Santa Clara, CA- Onsite from Day 1
Duration- Fulltime/Permanent
Job Description:
Must have: Python, Python Scripting, Research &Development(R&D), & POCS
Job Description:
" Strong fundamentals in Python, Python Scripting and other similar technologies.
" High degree of proficiency in custom search and analytics application development
" 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/Client use cases on Elasticsearch.
" 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.
Location- Santa Clara, CA- Onsite from Day 1
Duration- Fulltime/Permanent
Job Description:
Must have: Python, Python Scripting, Research &Development(R&D), & POCS
Job Description:
" Strong fundamentals in Python, Python Scripting and other similar technologies.
" High degree of proficiency in custom search and analytics application development
" 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/Client use cases on Elasticsearch.
" 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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