Responsibilities

- Design, build, and optimize data ingestion and transformation pipelines from multiple sources using Azure Data Factory and Databricks notebooks
- Partner with architects and business/data science teams to design scalable, business-aligned solutions on Azure
- Build and maintain processes for data transformation, data structures, metadata management, and workload/dependency orchestration
- Design data models and warehouse schemas that enable fast, intuitive analytics
- Provide technical expertise and thought leadership on cloud architecture and infrastructure strategy within Microsoft Azure
- Maintain and evolve existing Azure infrastructure, proactively planning for scale and future needs
- Author clear specification documents covering design, testing, and support processes
- Translate business requirements into development plans, effort estimates, and project timelines
- Work cross-functionally with project teams to identify and mitigate risks across design, implementation, and delivery

Requirements

- 3+ years of professional IT experience, with a strong foundation in data engineering
- 3+ years of hands-on experience with core Azure data services: ADLS, Data Factory, Databricks, SQL DW, Azure Functions
- Solid proficiency in Python for data engineering workflows




- Proven experience designing and building solutions on Azure Cloud, particularly Azure SQL Data Warehouse/DB, Data Factory, Data Lake Store/Blob, and Databricks
- Hands-on expertise with Databricks for data engineering workloads, including notebooks, Delta Lake, cluster management, and job orchestration
- Solid grasp of lakehouse architecture principles, with experience implementing them in production
- Strong SQL skills across relational and NoSQL databases, with particular depth in T-SQL and Azure SQL DW
- Experience building, debugging, and migrating data pipelines using Azure Data Factory and Databricks notebooks
- Ability to develop and maintain conceptual, logical, and physical data models
- Nice to have - familiarity with LLMs and RAG (Retrieval-Augmented Generation) architecture
- Nice to have - experience in HR analytics

Don't meet every single requirement. We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer (Data Engineer - Azure) (Gurugram)
🏢 Gartner
📍 Gurugram