Senior Specialist, Digital Operations (hybrid) (data Engineering)

Merck Merck · Pharma · PA

This role focuses on building and deploying AI-enabled and agentic workflows, along with modern data foundations and pipelines. It involves designing, building, and optimizing data solutions using tools like Databricks and Python, and developing custom web applications. A key aspect is the design and implementation of agentic AI solutions using platforms like Vertex AI and Copilot Studio to automate decision-making and generate insights, with a strong emphasis on responsible AI and governance.

What you'd actually do

  1. Design, build, and optimize scalable data pipelines and architectures leveraging Databricks, Python, Dataverse, and advanced SQL. Transform raw data into highly accessible data foundations.
  2. Design, build, test, and deploy agentic AI workflows and machine learning models using tools like Vertex AI, Databricks, Copilot Studio to automate decision-making processes and generate proactive business insights.
  3. Develop and deploy custom, user-friendly WebApps to support business operations, data entry, and interaction with underlying data models.
  4. Ensure agentic solutions follow enterprise standards for security, data access, ethical and responsible AI, auditability, human oversight, and appropriate risk assessment prior to production use.
  5. Utilize modern development environments (VS Code) and AI coding assistants (Cline) alongside GitHub for robust version control of scripts, applications, and data models to ensure code quality.

Skills

Required

  • Python
  • advanced SQL
  • Databricks
  • Microsoft Dataverse
  • Power BI
  • PBIP
  • GitHub
  • VS Code
  • Agentic AI platforms (e.g., Microsoft Copilot Studio, Vertex AI, Databricks, Power Platform)
  • Data engineering
  • Software/web development
  • Data science
  • Business analysis
  • DevOps

Nice to have

  • AI coding assistants (Cline)

What the JD emphasized

  • Agentic AI & Automation
  • AI-Ready Data and Context Engineering
  • AI-Assisted Development
  • Responsible AI and Governance

Other signals

  • designing, building, and implementing modern data foundations and pipelines
  • designing and deploying AI-enabled and agentic workflows
  • automate decision-making processes and generate proactive business insights
  • design, build, test, and deploy agentic AI workflows and machine learning models