Keytag is looking for a robust data engineer to own how data gets captured, moved, and shaped and then turned into a knowledge graph that the rest of the business can actually use.

This is a design and build role. You'll be designing ontology and pipelines from scratch, deciding how varied source data becomes clean, connected, queryable information.

What you'll do

- Build data ingestion pipelines in Python, orchestrated with Airflow working out how to capture data reliably from a range of varied sources
- Extend our AI data platform, the backbone of our Agent Framework
- Model that data as a knowledge graph entities, relationships, the structure that makes it useful (we use Neo4j)
- Transform and serve data as JSON in Redis for fast downstream access
- Explain your thinking clearly to both technical and non-technical people

What we're looking for

- Solid Python real engineering, not just scripting
- Hands-on Airflow experience writing new DAGs and tasks from scratch,



not just maintaining existing ones (DAG design, backfills, idempotency, managing dependencies)
- Experience with Neo4j, Cypher, or knowledge graphs generally
- Good instincts for data modelling you can look at source data and reason about how to structure it
- A explicit communicator who can talk through a design and defend it
- Someone who can balance speed of delivery against good design, and work iteratively from blank page to useful to finished

Benefits

- Work with talented engineers building AI-powered products that large organizations rely on.
- Friendly and well-organized team with an open communication style.
- Room to keep growing, both your technical and your softer skills
- Remote work, providing flexibility and work-life balance.
- Medical insurance coverage for you and your family.

📌 Data Engineer with Airflow Python Neo4j (Tamil Nadu)
🏢 Keytag Labs
📍 Tamil Nadu