AWS, Azure Tech Lead Engineer

As a Software Development Support Engineer, you will be responsible for supporting software product development, automation, and operations. Your main tasks will include creating new indexes for data ingestion, collaborating with business partners and team members to ensure alignment with business requirements, and translating business requirements into flowchart designs. You will also be coordinating with cross-functional teams on pre/post target audience activities and utilizing your knowledge in areas such as Architecture & Internals, Functionalities, Administration, Installation & Configuration, and Upgrade & Migration. Your roles and responsibilities will involve designing and developing dashboards in Grafana and Kibana, writing queries in Grafana to pull data from tools like Elastic search, MYSQL, Oracle, and App dynamics to create dashboards/flow maps, merging data from different sources into one dashboard, and performing DB engineering tasks such as data conversions, process optimization, and database development for fine-tuning required data. You will also be responsible for ingesting data into Elastic Search from various sources, integrating with different tools, API integrations, and reports, planning, installing, and maintaining automation software on various platforms, providing technical support to dashboard users, and interfacing with outside vendors to coordinate problem resolution. To be successful in this role, you should have experience in AngularJS or ReactJS, NodeJS, and Python, with previous ETL experience of 3-5 years. Proficiency in Grafana & Kibana development skills is a must, along with strong experience in AWS and Azure. You should also have experience in Log Analytics, Metrics collection, and visualizations, working with open-source communities, configuring dashboards, alerts, and alarms using Grafana/Kibana, and integrating with different tools, API integrations, and reports. Additionally, you should have exposure to analyzing data from dashboards, recommending and suggesting improvements, gathering, analyzing, transforming, and ingesting data from sources to Elastic Search, a strong understanding of Elasticsearch index configuration options, experience in data visualization and creating dashboards to display time-based data plots, good communication and problem-solving skills to debug issues/integrate using Json, API, CI/CD pipeline using scripts, and a fair understanding of basic databases like Oracle, MSSQL, and NoSQL. You should also be comfortable navigating and executing operational commands in both Linux and Windows environments.,