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Company profile

CoffeeBeans Tech Stack

Data engineering and AI consultancy building lakehouse and RAG solutions

Information Technology & Services Bangalore, Karnataka 201–500 employees Founded 2017 Partnership
coffeebeans.io LinkedIn

CoffeeBeans is a Bangalore-based technology consultancy whose stack centers on Databricks, Delta Lake, Unity Catalog and Spark alongside a deep GenAI toolkit: LangChain, LlamaIndex, Pinecone, FAISS, Weaviate, OpenAI, Mistral and Llama. Accelerating, data-heavy hiring weighted toward senior and lead talent, plus active RAG adoption, points to a firm scaling lakehouse and LLM delivery work rather than generic IT services.

Tech Stack 150 technologies

Core StackPython scikit-learn OpenAI Pinecone Weaviate LangChain Pandas NumPy AWS FastAPI Docker MLflow React Django Flask Cursor JavaScript TypeScript Databricks Delta Lake Unity Catalog Apache Spark XGBoost LightGBM Mistral Llama FAISS LlamaIndex GCP DVC+116 more
AdoptingRAG

What CoffeeBeans Is BuildingChallenges and projects from their job posts

◆Challenges

  • Scaling legacy data pipelines across fragmented sources
  • Data quality across reporting platforms
  • Query and dashboard performance optimization
  • Maintaining platform stability and critical system availability
  • Incident management
  • Reducing manual intervention

▲Active Projects

  • AI-driven Databricks lakehouse architecture
  • Batch, real-time and CDC ingestion pipelines
  • RAG pipeline development
  • Multi-agent orchestration framework
  • Azure Unity Catalog management
  • Self-service provisioning and monitoring automation

Hiring Activity

Accelerating20 roles · 8 in 30d

Department

Data
11
Engineering
7
Ops
1

Seniority

Mid
7
Senior
6
Lead
5
Principal
1
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About CoffeeBeans

CoffeeBeans, founded in 2017 and headquartered in Bangalore, Karnataka, is a technology consulting partner with 201–500 employees. It delivers cloud, data engineering, analytics, machine learning, blockchain and application modernization services, spanning product development through DevOps. Client industries include BFSI, AgriTech, eCommerce, IT and supply chain, served through flexible engagement models. Delivery runs on AWS and GCP with Python, FastAPI, Django, React and Docker, and hiring is concentrated in India.

HeadquartersBangalore, Karnataka
Company Size201–500 employees
Founded2017
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does CoffeeBeans use?

CoffeeBeans works with Python, Databricks, Delta Lake, Unity Catalog, Apache Spark, MLflow, DVC, LangChain, LlamaIndex, Pinecone, FAISS, OpenAI, FastAPI, React, Docker, AWS and GCP.

Is CoffeeBeans hiring data engineers?

Yes. Hiring is accelerating and concentrated in data and engineering roles, mostly at mid, senior and lead levels, with all positions based in India.

What is CoffeeBeans working on?

Current work includes batch and real-time ingestion pipelines, CDC architectures, RAG pipelines, Databricks lakehouse architecture and a multi-agent orchestration framework.

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How this profile is built

CoffeeBeans's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.