About Kagool
Kagool is a global IT services and consulting company specialising in enterprise digital transformation, with solid expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services.
Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage.
Role Overview
We are seeking a highly skilled Azure Data Engineer with strong experience in building scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on expertise in designing, developing,
and optimizing data pipelines and data architectures using Azure-native tools.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Azure services
- Develop and optimize ETL/ELT processes using Azure Data Factory (ADF) and Azure Synapse Analytics
- Work with structured and unstructured data for ingestion, transformation, and storage
- Implement data solutions using Azure Data Lake, Blob Storage, and SQL Database
- Collaborate with data scientists, analysts, and stakeholders to support analytics use cases
- Perform data modeling (both relational and dimensional models)
- Ensure data quality, governance, and security best practices
- Monitor and troubleshoot data pipeline performance
- Implement CI/CD pipelines and automation for data workflows
Required Experience (Minimum 5+ Years)
- 5+ years in Data Engineering / Data Warehousing / Big Data
- At least 3+ years of hands-on experience in Azure Data Platform
Str
📌 Azure data engineer (Mumbai)
🏢 Kagool
📍 Mumbai