Elastic Developer- Sme

Design and develop data integration modules to extract, transform and load (ETL) data from multiple sources using Elastic technologies including Logstash and Beats.
Design and implement custom data pipelines to ingest data into Elastic using tools such as Logstash or custom scripts.
Design and develop code modules using Elastic API to ingest data, configure indices, build dashboards and to perform advanced search queries.
Build powerful search queries using KQL to build advanced dashboards.
Design, define and modify ingest pipelines.
Define data mapping and custom analyzers.
Enrich data using runtime fields and Elasticsearch scripting Design and write search queries for data aggregations, across clusters and using runtime fields.
Lead design sessions around Elasticsearch implementation and provide technical guidance to the team.
Act as a subject matter expert and a trusted advisor related to all Elasticsearch topics in the project.
Responsible for testing the code modules by developing unit tests as part of Test-Driven Development (TDD) process.
Debug/troubleshoot production issues related to data ingestion, data reports and visualizations.
Work in an Agile environment as part of cross-functional team.
What You Must Have:
Bachelor's Degree and 6+ years of experience in developing search applications using ELK stack.
Experience as a technical lead in application development using Elastic.
Thorough understanding of Elastic deployments including cluster design in Elastic Cloud Enterprise (ECE).
Ability to debug, troubleshoot existing logic units in code modules.
Experience in writing Extract, Transform and Load (ETL) jobs and ability to troubleshoot ETL tasks.
Ability to write SQL queries for data extraction and validation.
Hands-on experience in using Elastic API and Painless scripting.
A thorough understanding of JSON and XML.
Thorough knowledge of code building and deployment tools including Git and experience in CI/CD processes.