Omnicell is hiring a

Senior Data Engineer

Job Overview

  • Posted 4 days ago
  • Full Time
  • Cranberry Township, PA, USA
  • 111000

Roles & Responsibilities

In the role of Senior Data Automation Engineer, you are at the heart of our efforts to streamline data-centric processes. Your responsibilities include crafting and overseeing databases, as well as devising comprehensive solutions that enhance the efficiency of our business operations team. Collaborating with various departments, you will assess data requirements, devise automation scripts, and roll out scalable systems tailored to our workforce’s needs. This position demands the integration of multiple external systems via APIs, linked servers, and standardized industry practices to develop new platforms that elevate our staff’s productivity in their day-to-day activities. Furthermore, you will lead the deployment of AI Ops-style solutions, incorporating advanced technologies such as Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) models, and various Machine Learning techniques to automate the transfer and interpretation of data across different systems or endpoints.

Responsibilities:

  1. Architect, build, and maintain diverse database systems, ensuring optimal performance and quick response times for front-end queries.
  2. Craft and refine code in Python, PowerShell, and additional programming languages to streamline data processing and unify various systems through automation.
    Spearhead the creation and upkeep of scripts dedicated to the extraction, transformation, and loading (ETL) of data.
  3. Assist other teammates in web design elements to enhance user engagement when using our data automation tools.
  4. Employ RESTful APIs for seamless integration with a range of third-party services.
  5. Manage and analyze large data sets using sophisticated querying methods to draw actionable insights and aid in decision-making.
  6. Implement Machine Learning or Generative AI techniques to boost data analysis and predictive modeling capabilities.
  7. Keep abreast of the latest technological advancements and trends in data to refine and advance our automation strategies continuously.

Skills Required

  • Machine Learning
  • Python

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