Elastic Search Developer

Job Description

Join us and be a part of this journey as we write customer success stories about these products. WHAT YOU DO Interface with business customers, gathering and understanding requirements. Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results. Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis. Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes. Build, improve, and provide ongoing optimization of high-quality models. Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues, and feature requests. Continuous improvement in reporting, analysis, and overall process. Visualize, present, and demonstrate findings as required. Perform knowledge transfer to customer and internal teams. Communicate within the global community respecting cultural, language, and time zone variations. Demonstrate flexibility to adjust working hours to match customer and team interactions. ABOUT YOU Bachelors / Masters degree in quantitative field (e.g., Computer Science, Statistics, Engineering) 5+ years of relevant experience in Data Science or Data Engineering 5+ years of hands-on experience in Elasticsearch, Kibana, and real-time analytics solution development Hands-on application development experience in AWS/Azure and experience in Snowflake, Tableau, or Power BI Expertise with major statistical & analytical software like Python, R, SAS Good working knowledge on any programming language like Java, NodeJS. Application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc. is an added advantage Expertise with data modeling, data warehousing, and ETL/ELT development Expertise with database solutions such as SQL, MongoDB, Redshift, Hadoop, Hive Proficiency with REST API, JSON, AWS Experience in working and delivering projects independently. Ability to multi-task and context switch between projects and tasks Curiosity, passion, and drive for data queries, analysis, quality, and models Excellent communication, initiative, and coordination skills with great attention to detail. Ability to explain and discuss complex topics with both experts and business leaders.