
SQL Developer - Data Lake, AI & Data Engineering
Role Summary
Seeking an experienced SQL Developer with strong expertise in Data Lake architecture, Data Engineering, AI/ML data modelling, and Vector Database design. The candidate will be responsible for building scalable data platforms, developing optimized SQL solutions, designing AI-ready data models, and supporting enterprise analytics and GenAI initiatives.
Key Responsibilities
- Design, develop, 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 for Analytics, Machine Learning (ML), and AI applications.
- Develop and maintain data ingestion, transformation, and data preparation pipelines.
- Architect and manage Vector Database solutions supporting GenAI, semantic search, embeddings, and RAG-based applications.
- Ensure data quality, security, performance, governance, and scalability across platforms.
- Integrate data from multiple enterprise systems, databases, APIs, and business applications.
- Collaborate with Business, Analytics, Data Science, and AI teams to deliver enterprise data solutions.
Mandatory Skills
- Advanced SQL Development (SQL Server, PostgreSQL, Oracle, MySQL, etc.)
- Data Lake Architecture, Development, and Maintenance
- Data Warehousing & Dimensional Data Modelling
- AI/ML Data Modelling and Feature Engineering
- Python for Data Engineering, Data Processing, and Automation
- Query Performance Tuning & Database Optimization
- Data Governance & Data Quality Management
- Vector Database Architecture and Management (Pinecone, Qdrant, Weaviate, Milvus, Chroma, or similar)
- Experience handling large-scale structured and unstructured datasets
Preferred Skills
- Experience with GenAI, RAG (Retrieval-Augmented Generation), Embeddings, and LLM-based applications
- PySpark and Distributed Data Processing
- Power BI or Enterprise Reporting Platforms
- Knowledge of MLOps, AI data pipelines, and modern data architectures
Key Attributes
- Strong analytical and problem-solving skills
- Ability to independently own end-to-end data platform solutions
- Excellent communication and stakeholder management skills
- Passion for Data Engineering, AI, ML, and GenAI technologies
Ideal Candidate
A hands-on SQL Developer who can build and maintain enterprise Data Lakes, design AI/ML-ready data models, develop Python-based data solutions, and architect Vector Database platforms to support advanced analytics, AI, and GenAI initiatives.

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