Role: Azure Data Engineer
Location: Dallas, TX Local Onsite Interview
Exp: 12+yrs
Duration: 12 Months+ - Hybrid Onsite
We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have 5 years of experience in data engineering and a strong background in AI-enabled systems, machine learning model development, and data management. This role involves leading the implementation of an AI-enabled contract lifecycle management (CLM) system and ensuring its seamless operation. The Data Engineer will collaborate with cross-functional teams to develop and maintain robust data pipelines, optimize database systems, and oversee AI model deployment in UAT and production environments.
Qualifications:
4- 5 years of experience in data engineering or a related role.
Expertise in designing and implementing ETL pipelines and data integration processes.
Strong knowledge of SQL and NoSQL databases.
Experience with machine learning models, especially NLP models, and deploying AI in production environments.
Proficiency with data visualization tools (e.g., Tableau, Power BI) and reporting.
Familiarity with MLOps practices and tools.
Will need to understand how to use LLM AI Prompts, understand AI limits
Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
Knowledge of data governance and master data management best practices.
Experience with contract lifecycle management systems.
Strong project management and problem-solving abilities.
Experience with Dynamics or Salesforce.
Experience with Workday is a plus.
Preferred Qualifications:
Familiarity with cloud platforms and tools for AI/ML development.
Pramata or like CLM tools
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