Elastic Engineer

Job Description:

The company is looking for smart and passionate Elastic Engineer, who will be working with cross-functional teams to define, design and deliver new features and adopt the best practices of Test-Driven Development to guarantee robustness and stability of the code produced.

Key Responsibilities

. Overall responsible on the Implementation of the Tasks allocated during the sprint
. Ensure the software is developed confirming the project architecture, coding standards and NFRs
. Support L3 engineer to analyse the User Requirements, NFRs and Technical requirements for the project
. Identify any unknowns i.e. missing scenarios, etc and consult with PO to ensure those are defined either as a User story or UAC
. Identify ways to implement stories and select the approach that is best suited for the project. Consult with L4 as required
. Break down user stories along with the team to identify technical tasks
. Provide detailed estimates before the start of the sprints. Need to work with the Team to get the estimates
. Proactively pre-plan the sprints to achieve 90+% confidence of delivery
. Create Technical documents as required for the project in Jira, Confluence or other tools
. Provide POs and ADMs with daily updates of the team via Jira and Slack
. Proactively communicate with other members of the team
. Provide HR and Management with any relevant information to help improve organization's culture & performance

Key Skills
. Expert knowledge of Elastic Search, Logstash, Kibana, and AWS (from infrastructure provisioning perspective)
. Experience in understanding how data is organized in database and how to fetch it
. Proficient understanding of code versioning tools (Git/SVN/SourceSafe)
. Working with and extracting value from large, disconnected and/or unstructured datasets, using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash
. Understanding of query DSL, index, mappings and shared allocation and segment
. Creating dashboards, reports alerts using Kibana or other available Elastic stack plugins
. Building and optimizing big data pipelines (preferred)
. Integrating ELK with tools and APIs, for example for authentication and authorization
. Designing & Data Modelling, Bulk Document Indexing & Search APIs in Elastic Search
. Monitoring and Troubleshooting performance of Elastic Stack during Offshore support
. Maintain and enhance Elastic Stack (Elastic Search, Logstash, Kibana, Ingest Pipeline)
. Preferrable: knowledge of Tableau and snowflake