We are hiring for a leading client in Pune. You will build and maintain production-grade data pipelines on Azure and Databricks, supporting real-time streaming and modern AI use cases. Key Responsibilities Design, build, and optimise scalable data pipelines using PySpark, Databricks, and Delta Lake Develop real-time and batch data processing solutions using Kafka and Azure services Write productive, production-quality Python and SQL Contribute to RAG and agentic AI solutions Work closely with client stakeholders and explain technical concepts clearly Mandatory Skills (hands-on, production experience)



Python Azure Databricks Kafka PySpark SQL Delta Lake RAG / Agentic AI Eligibility 5–8 years of relevant experience At least 2 years of continuous employment with one organisation Excellent communication and stakeholder management skills (non-negotiable) Comfortable working from the Hinjewadi, Pune office Notice period of up to 45 days (immediate joiners preferred)

Pay: ₹510,000.00 - ₹1,880,000.00 per year

Advantages:
Cell phone reimbursement
Versatile schedule
Food provided
Paid sick time

Application Question(s):
Rate the candidate’s communication skills on a scale of 1–5, where 5 is excellent.
Have you completed at least 2 consecutive years with any one organisation?

Work Location: In person

📌 Senior Data Engineer Azure Databricks Kafka – Pune Hinjawadi (India)
🏢 Madhjyoti
📍 India