Description

You will design and implement scalable data pipelines and ETL processes across structured and unstructured data sources.

Responsibilities

• Integrate data from various Enterprise SORs and workflow tools to create process-level visibility.
• Build and maintain data models, warehouses, and lakes for analysis and reporting.
• Collaborate with analysts and business teams to develop dashboards and real-time metrics.
• Customize GenAI applications using approved LLMs for process mining, task mining summarization, and anomaly detection.

Required Skills

• 5+ years of experience in Data Engineering, Analytics, or Machine Learning/NLP focused roles.
• Experience with process mining tools such as Celonis or UiPath Process Mining.
• Proven experience with cloud-based data pipelines.
• Strong understanding of SQL and Python.
• Experience with ETL Processes.
• Exposure to or hands-on work with Generative AI and LLMs (like Llama, Google Gemini, OpenAI).
• Familiarity with vector databases (e.g., Pinecone, FAISS).

Key Skills

Education

Any Graduate