About this role
Full Time Data Engineer / AI Engineer in financial services at iLink Digital in Chennai, India. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- Chennai, India
- Experience
- 7+ years
Core stack
- Data Engineering
- Data Warehouse
- Optimization
- Contributing
- Supply Chain
- Performance
- Snowflake
- Analytics
- Power BI
- Security
- Tableau
- Python
- Design
- Agile
- Sales
- JSON
- SQL
- LLM
- RAG
Quick answers
What skills are required?
Data Engineering, Data Warehouse, Optimization, Contributing, Supply Chain, Performance, Snowflake, Analytics, Power BI, Security, and more.
iLink Digital is hiring for this role. Visit career page
Chennai, India
We are looking for a Data Engineer / AI Engineer with strong hands-on experience in Snowflake Data Warehouse and exposure to AI-driven analytics solutions.
The role focuses on building scalable data pipelines, implementing optimized data models, and contributing to AI-powered applications such as conversational analytics using Snowflake Cortex LLM.
This is a delivery-focused role with growing technical ownership and business exposure.
Key Responsibilities
1. Snowflake Data Engineering
- Develop and maintain data models (Star schema / Snowflake schema).
- Build and optimize ELT pipelines within Snowflake.
- Write efficient SQL transformations and performance-tuned queries.
- Support data ingestion from structured and semi-structured sources.
- Assist in warehouse sizing, clustering, and cost optimization.
- Implement role-based access control (RBAC) and basic data governance practices.
2. AI & Cortex LLM Implementation Support
- Support development of AI agents using Snowflake Cortex LLM.
- Assist in building Retrieval-Augmented Generation (RAG) workflows.
- Work on vector embeddings and semantic search implementations.
- Participate in prompt engineering and testing.
- Validate and test AI-generated outputs for accuracy and security.
3. Conversational & Analytics Solutions
- Contribute to building conversational analytics tools enabling natural language queries.
- Support integration of data models with BI tools (Power BI / Tableau).
- Translate functional KPIs into data models and dashboards.
- Ensure data accuracy, consistency, and performance.
4. Collaboration & Delivery
- Work closely with Senior Leads and Architects on design implementation.
- Participate in sprint planning and Agile ceremonies.
- Document data models, transformations, and solution components.
- Provide production support and troubleshooting.
Required Qualifications
- 4–7 years of experience in Data Engineering / Analytics Engineering.
- 2–4 years hands-on experience with Snowflake.
- Strong SQL expertise (advanced joins, window functions, performance tuning).
- Working knowledge of Python.
- Understanding of data modeling concepts (Dimensional modeling preferred).
- Exposure to AI/LLM platforms (Snowflake Cortex or similar is a plus).
- Experience integrating with BI tools (Power BI / Tableau).
Preferred Qualifications
- Exposure to RAG frameworks or semantic search.
- Basic understanding of data governance and security models.
- Experience working with semi-structured data (JSON, Parquet, etc.).
- Domain exposure in HR, Sales, Finance, or Supply Chain analytics.
Requirements
Required Qualifications
- 4–7 years of experience in Data Engineering / Analytics Engineering.
- 2–4 years hands-on experience with Snowflake.
- Strong SQL expertise (advanced joins, window functions, performance tuning).
- Working knowledge of Python.
- Understanding of data modeling concepts (Dimensional modeling preferred).
- Exposure to AI/LLM platforms (Snowflake Cortex or similar is a plus).
- Experience integrating with BI tools (Power BI / Tableau).
Preferred Qualifications
- Exposure to RAG frameworks or semantic search.
- Basic understanding of data governance and security models.
- Experience working with semi-structured data (JSON, Parquet, etc.).
- Domain exposure in HR, Sales, Finance, or Supply Chain analytics.