Principal Consultant - Data Engineering

February 11

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Genesys

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Genesys is a leading provider of AI-powered experience orchestration solutions designed to deliver personalized experiences at scale. Their offerings include comprehensive contact center software, workforce engagement management solutions, and an open platform with cloud architecture. Genesys Cloud CX and EX platforms optimize both customer and employee experiences using intelligent automation and embedded AI, allowing seamless engagement across any channel. With a focus on various industries including banking, healthcare, retail, insurance, and government, Genesys assists organizations in transforming customer and employee interaction landscapes. Additionally, their AppFoundry Marketplace offers pre-integrated applications to extend platform functionalities.

Call Center Software • Cloud Contact Center • Customer Experience Software • Contact Center as a Service • Customer Self-Service

5001 - 10000 employees

Founded 1990

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

📋 Description

• 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.

🎯 Requirements

• Bachelor’s / Master’s degree in quantitative field (e.g., Computer Science, Statistics, Engineering) • 8+ years of relevant experience in Data Science or Data Engineering • 8+ years of hands-on experience in Elasticsearch, Kibana, and real-time analytics solution development • Hands-on application development experience in AWS/Azure and it is good to have experience in Snowflake, Tableau, or ELK • Good working knowledge on any programming language like Java, NodeJS,Python. • 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 • 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.