Data Engineer (Tableau & Microsoft Fabric) - Immediate Joiner

About the role

An experienced Data Engineer with strong hands-on expertise in Tableau dashboard development, reporting and business intelligence is sought. The role focuses on rebuilding, optimizing and migrating existing Tableau dashboards as part of a data warehouse modernization initiative using Microsoft Fabric, moving reporting from an on-premises Microsoft SQL Server data warehouse to Microsoft Fabric and from Tableau Server to Tableau Cloud.

Key responsibilities

• Analyze existing Tableau dashboards, reports and data sources to understand business requirements and reporting logic.
• Rebuild, enhance and optimize Tableau dashboards using Microsoft Fabric as the underlying data source.
• Connect Tableau to Microsoft SQL Server and Microsoft Fabric, and develop, optimize and troubleshoot complex SQL queries.
• Configure and optimize Tableau data sources, extracts, calculations, filters, parameters and dashboard performance.
• Support the migration of Tableau Server dashboards to Tableau Cloud and validate data accuracy and report calculations.
• Collaborate with business stakeholders, report owners and technical teams, and document dashboard functionality and migration processes.
• Troubleshoot dashboard, connectivity, data refresh and performance issues, and support data modelling and warehouse optimization in Microsoft Fabric.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field.
• Minimum 6 years of relevant experience in Business Intelligence, Data Engineering or BI development.
• Minimum 3 years of hands-on Tableau development experience.
• Immediate joiners required.

Required skills

• Strong hands-on Tableau Desktop, dashboard development, calculations and performance optimization; experience with Tableau Server and Tableau Cloud.
• Complex SQL, joins, aggregations, data validation and query optimization.
• Practical experience with Microsoft Fabric, especially Fabric Data Warehouse, and with SQL Server data warehouses.
• Data modelling, reporting structures and data quality validation.
• Demonstrated experience rebuilding or migrating dashboards to modern data platforms.