Experience : 8 - 12 Years

Location : Bengaluru (Hybrid)

Notice Period : Immediate to 15 - 20 Days

Role Overview :

We are looking for a Senior Data Engineer to design and manage scalable data pipelines and data infrastructure supporting AI/ML applications.

The candidate will be responsible for reliable data ingestion, transformation, storage, and integration with LLM and RAG-based systems.

Key Responsibilities :

- Design and implement scalable data pipelines for ingestion, transformation, and storage.

- Develop and maintain ETL/ELT workflows for structured and unstructured data.

- Design efficient data models and optimize database performance.

- Integrate data pipelines with AI/ML applications, vector databases, and RAG workflows.

- Ensure data quality, consistency, lineage, and governance.

- Optimize data processing for performance, scalability, and cost efficiency.

- Collaborate with AI engineers and platform teams to support enterprise AI solutions.

Required Skills :

- Strong experience in data engineering and pipeline development.

- Hands-on expertise in ETL/ELT, data modeling, and database management.

- Proficiency in SQL and Python.

- Experience with data integration, transformation, and data quality management.

- Understanding of data requirements for AI/ML and LLM applications.

- Knowledge of scalable data architectures and performance optimization.

Good to Have :

- Experience with vector databases and RAG pipelines.

- Exposure to cloud data services on AWS, Azure, or GCP.

- Familiarity with data governance and lineage tools