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NICE

Make experiences flow.

AI Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1991H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

Not specified

Seniority

Senior

3 yrs expEnglishAWSDockerLinuxPythonSQL

Job Description

• 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 metadata 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. • Manage the utilization of the CX Proof of Concept (POC) VM servers.

Job Requirements

  • 3+ years of software engineering experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider
  • Experience using Windows Server
  • 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

Benefits

  • Join an ever-growing, market disrupting, global company
  • Opportunities for internal career development across multiple roles
  • Collaborative and creative work environment

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