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We are seeking an innovative AI & Data Analytics Engineer to design, develop, and deploy next-generation AI-powered analytics platforms that transform complex enterprise data into actionable business insights. This role combines expertise in Artificial Intelligence, Data Engineering, Analytics, and Business Intelligence to build intelligent, scalable, and production-ready solutions.
The ideal candidate will have strong experience in Python development, enterprise data engineering, Large Language Models (LLMs), and modern analytics technologies. You will collaborate with product managers, software engineers, data engineers, and business stakeholders to build AI-driven applications that enable intelligent decision-making through conversational analytics, semantic data models, and advanced data pipelines.
Experience: 5+ Years Location: Bangalore Work Environment: Office / Hybrid - 2 to 3 days from client office
We are seeking an innovative AI & Data Analytics Engineer to design, develop, and deploy next-generation AI-powered analytics platforms that transform complex enterprise data into actionable business insights. This role combines expertise in Artificial Intelligence, Data Engineering, Analytics, and Business Intelligence to build intelligent, scalable, and production-ready solutions.
The ideal candidate will have strong experience in Python development, enterprise data engineering, Large Language Models (LLMs), and modern analytics technologies. You will collaborate with product managers, software engineers, data engineers, and business stakeholders to build AI-driven applications that enable intelligent decision-making through conversational analytics, semantic data models, and advanced data pipelines.
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Design and develop scalable ETL/ELT pipelines to ingest, transform, validate, and manage enterprise datasets.
Integrate structured, semi-structured, and geospatial data from multiple enterprise systems.
Build and maintain semantic data layers including schema normalization, metadata mapping, and enterprise data models.
Implement data quality, validation, lineage, and governance best practices.
Optimize data processing pipelines for scalability, performance, and reliability.
Develop conversational analytics platforms and AI-assisted business intelligence applications.
Build interactive dashboards and data visualization solutions using modern BI tools.
Design scalable analytical models that enable self-service reporting and enterprise decision support.
Collaborate with business stakeholders to translate analytical requirements into impactful AI and data solutions.
Partner with Product Managers, Data Engineers, Software Engineers, and business teams to deliver end-to-end AI solutions.
Participate in architecture discussions, technical design reviews, and solution planning.
Ensure AI and analytics platforms are secure, scalable, reliable, maintainable, and production-ready.
Document solution designs, implementation approaches, and technical best practices.
Python
SQL
Pydantic
OpenAI GPT
Google Gemini
Anthropic Claude
Function Calling
Structured Outputs
Prompt Engineering
Agentic AI
Multi-Agent Architectures
ETL/ELT Pipeline Development
DuckDB
PostgreSQL
Databricks
AWS S3
Enterprise Data Platforms
Data Modeling
Metadata Management
Data Quality Frameworks
Power BI
Streamlit
Tableau
Interactive Dashboards
Conversational Analytics
Business Intelligence
Semantic Data Models
Verified company details for this employer are not available yet.
Full-time
Senior · 5+ years experience
Hybrid
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