Job Title: SQL Developer - Data Lake, AI & Data Engineering
Experience: 5-8 Years
Location: Bengaluru / Hybrid
Budget: 28 LPA
Preferred: Immediate to 15 days joiners only
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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