Description

Design, develop, and optimize complex SQL queries, stored procedures, views, and database objects. Build and govern enterprise Data Lakes for structured, semi-structured, and unstructured data. Architect scalable data models for Analytics, Machine Learning, and AI applications. Develop data ingestion and transformation pipelines. Manage Vector Database solutions for GenAI, semantic search, and RAG-based applications.

This role is on-site.

Responsibilities

• Design and optimize complex SQL queries, stored procedures, views, and database objects.
• Build, maintain, and govern enterprise Data Lakes for structured, semi-structured, and unstructured data.
• Design scalable data models supporting Analytics, Machine Learning, and AI applications.
• Develop and maintain data ingestion, transformation, and preparation pipelines.
• Architect and manage Vector Database solutions for GenAI, semantic search, embeddings, and RAG-based applications.

Required Skills

• 8+ years of experience in SQL development and database management.
• Strong proficiency in writing and optimizing complex SQL queries.
• Experience building and governing enterprise Data Lakes.
• Knowledge of Machine Learning data pipelines and model requirements.
• Understanding of RAG (Retrieval-Augmented Generation) architectures.
• Experience with Vector Databases and semantic search technologies.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree