Location Name:
Pune Corporate Office - Mantri

Job Purpose
We are looking for a Data Engineer with 3–6 years of experience with solid hands-on in cloud, data engineering, event streaming, software development, and emerging AI-assisted engineering practices to build and support scalable real-time data platforms.

Duties And Responsibilities
Event Streaming: Apache Kafka, Azure Event Hubs event processing.
Azure Cloud: Azure Storage, Cosmos DB, App Service, Functions, Key Vault
Data Engineering: Databricks, Apache Spark/PySpark, ETL/ELT pipelines, data transformation and data integration.
Databases: SQL Server, NoSQL databases such as Cosmos DB/MongoDB, and Time-Series databases like Kusto / clickhouse.
Programming: .NET Core / C#, Python, REST APIs and JSON.
Containers & Kubernetes: Docker, AKS (Azure Kubernetes Service), ACR (Azure Container Registry) and containerized application deployment is must.
DevOps & CI/CD: Azure DevOps, Git, CI/CD pipelines, build/release automation and deployment management.
Architecture: Knowledge of Distributed systems, microservices,



event-driven architecture and cloud-native applications.
AI-Assisted Engineering: Exposure to GitHub Copilot / GitHub Agent, AI-assisted coding, code generation, debugging, test generation and developer productivity tools is a plus.
AI & Data Engineering: Understanding of Generative AI, LLMs, AI agents, RAG, vector databases and AI-enabled data applications is an advantage.

Required Qualifications And Experience
3–6 years of relevant experience in Data Engineering / Software Engineering.
Strong SQL and programming fundamentals.
Hands-on experience with Azure cloud technologies.
Practical experience with event streaming and real-time data processing.
Experience with CI/CD and DevOps practices.
Positive understanding of NoSQL and distributed data systems.
Exposure to AI-assisted software development and contemporary developer productivity tools is preferred.
Strong analytical, deb

📌 Senior Data Engineer Pune Division
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