- Design and Develop Data Pipelines: Hands on with development, and optimisation of scalable and reusable - data pipelines in Azure Microsoft Fabric Synapse Data Engineering , leveraging both batch and real-time processing techniques . Ensure smooth integration with Azure Data Factory for orchestration and workflow management.
- Cloud Data Architecture: Collaborate with the Data Architecture team to design and implement robust data architectures in the Azure environment , ensuring they align with business needs while optimising performance, scalability, and cost-efficiency.
- Pipeline Optimisation : Continuously monitor and optimise the performance, cost, and reliability of data pipelines, ensuring productive processing, storage, and management of large datasets.
- Cross-functional Collaboration: Work closely with data engineering teams , analysts , and business stakeholders to understand data requirements, developing solutions that enable self-service analytics and support the decision-making process.
- Documentation Knowledge Sharing: Contribute to internal documentation,



fostering a culture of knowledge-sharing. Provide mentorship and guidance to junior engineers, helping to elevate team skills and improve overall team performance.
- Microsoft Fabric Experience: Apply your knowledge of Azure Tech Stack on Data Engineering ( or your willingness to learn ) Fabric-based development to manage end-to-end data orchestration, governance, and security across cloud and on-premises systems, ensuring seamless data movement and integration across hybrid environments.
- Data Modelling Expertise: Leverage your deep expertise in Azure to design and implement data models , create processing pipelines, and integrate with other Azure services like Data Lake and Synapse to support data storage and analytics needs.

Required Skills and Qualifications:
- Experience with Azure Ecosystem (Preferably Synapse): 5+ years of hands-on experience with Azure Ecosystem , including Synapse , Spa

📌 Lead Data Engineer (Gurugram)
🏢 Srijan
📍 Gurugram