
B2B • Enterprise • Artificial Intelligence
Jeevan Technologies (a Nobl Q company) is a digital transformation and enterprise technology consultancy that helps mid-market and enterprise clients modernize ERP, cloud and application landscapes. It provides advisory and professional services (technology and business-process advisory, product design and business value assessment), platform implementations (SAP, Oracle, Salesforce, Microsoft, ServiceNow), custom development (front-end, back-end, enterprise integration), embedded & IoT engineering, data management, and AI/machine-learning solutions, plus managed services to automate operations and deliver industry-specific solutions.
501 - 1000 employees
Founded 2000
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
February 12
🇮🇳 India – Remote
💵 ₹2.5M - ₹3M / year
⏰ Full Time
🟡 Mid-level
đźź Senior
📊 Business Intelligence Developer

B2B • Enterprise • Artificial Intelligence
Jeevan Technologies (a Nobl Q company) is a digital transformation and enterprise technology consultancy that helps mid-market and enterprise clients modernize ERP, cloud and application landscapes. It provides advisory and professional services (technology and business-process advisory, product design and business value assessment), platform implementations (SAP, Oracle, Salesforce, Microsoft, ServiceNow), custom development (front-end, back-end, enterprise integration), embedded & IoT engineering, data management, and AI/machine-learning solutions, plus managed services to automate operations and deliver industry-specific solutions.
501 - 1000 employees
Founded 2000
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
• Design and implement robust data pipelines using Azure Data Factory. • Develop and optimize Gen2 Dataflows for efficient data transformation and ingestion. • Integrate data from multiple sources into Azure Data Lake and Synapse. • Build and maintain SSAS Tabular Cubes for advanced analytics and reporting. • Develop semantic models for Power BI and Microsoft Fabric environments. • Ensure data models are optimized for performance and scalability. • Implement best practices for data lake architecture, partitioning, and security. • Collaborate with data engineers and architects to ensure compliance with governance standards. • Create interactive dashboards and reports using Power BI integrated with Fabric. • Enable self-service BI capabilities for business users. • Monitor ETL workflows, cube processing, and query performance. • Troubleshoot and resolve data-related issues proactively.
• Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake. • Hands on experience on writing Synapse Notebooks. • Proficiency in SSAS Tabular Models and DAX. • Experience with Microsoft Fabric and Gen2 Dataflows. • Solid understanding of data warehousing concepts, star/snowflake schemas, and data modeling. • Knowledge of Power BI development and deployment. • Familiarity with CI/CD pipelines for BI solutions. • Strong SQL skills and experience with performance tuning. • Excellent problem-solving and analytical skills. • Strong communication and stakeholder management abilities.
• Health insurance • Retirement plans
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