• 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.