AI Data Engineer

• How will you make an impact? • Serve as the focal point for managing the delivery of CX interactions and corresponding metadata utilizing various data delivery methods. • Serve as the focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.). This includes: • Manipulation of CX interaction metadate into approved formats • Manipulation of CX interactions into the NiCE Interaction Analytics platform • Manipulation of CX transcripts • Utilize evolving tools from Research that support the development of the data structures. • Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products. • Work with client requirements to understand new requests and how we can or cannot meet them. • Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices. • Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc. • Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets. • As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions. • Manage the utilization of the CX Proof of Concept (POC) VM servers. • Have you got what it takes? • 3+ years of software engineering experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider • Experience with basic scripting in PowerShell, Command Line, or Python • Knowledge of SQL preferred, such as using Data Manipulation Language and Data Definition Language • Familiarity with Linux • Familiarity with ssh and basic bash skills • Experience with Docker, accessing AWS S3 buckets, and SFTP • Experience with use of technology to build and analyze datasets for operational outcomes • Excellent oral and written communication skills in English • Ability to multi-task and meet deadlines when supporting requests that create competing priorities • Ability to develop and maintain good working relationships with cross-functional teams • Ability to communicate comfortably across all levels of corporate structure • Demonstrated ability to take the initiative and work in a self-directed manner • Ability to thrive in a changing environment