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.
Positive 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 robust hands-on development experience.
📌 Data Engineer Gurugram
🏢 TP
📍 Gurugram
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