Role & responsibilities

Required Technical Skills

- Primary Languages (Must Have): Python, SQL and React.
- Secondary Languages (Working knowledge): Node.js/JavaScript, Java and Scala
- Backend: FastAPI, REST APIs, microservices, and Spring Boot or equivalent.
- Data Engineering: Apache Spark/PySpark, Databricks, Delta Lake/Delta Tables, ETL/ELT, and data pipelines.
- Cloud: Azure preferred; AWS/GCP experience is also valuable.
- Databases: SQL and NoSQL databases; data warehouse/lakehouse experience is desirable.
- GenAI: LLMs, RAG, embeddings, vector databases, prompt engineering, AI agents, and LLM APIs.
- DevOps: Git, Docker, CI/CD, Kubernetes or equivalent deployment technologies.
- Data orchestration: Airflow, Azure Data Factory, Databricks Workflows, or similar.





Good to Have
- Azure Databricks and Microsoft Fabric experience.
- Azure OpenAI or other foundation-model API experience.
- Experience building production-grade GenAI applications.
- Knowledge of ML/AI concepts and model integration.
- Terraform or Infrastructure as Code experience.
- Kafka or other streaming technologies.
- Robust understanding of data architecture and lakehouse architecture.

Experience 5+ years of relevant software/data engineering experience, with strong hands-on development experience.

📌 Data Engineer (Gurugram)
🏢 TP
📍 Gurugram