Tavoron is looking for an SQL Developer to ensure seamless and reliable data flow across our systems. Your work will enable high-quality analytics by designing, developing, and maintaining data solutions. You will optimize database performance, manage ETL processes, and collaborate with cross-functional teams to support data-driven decision-making.

What You'll Do

Develop, optimize, and maintain complex SQL queries, stored procedures, views, and ETL processes.
Design and implement data models and structures to support scalable analytics and operational reporting.
Build robust data integration workflows pulling from ERP, CRM, manufacturing systems, and external sources.
Ensure data quality, consistency, governance, and documentation across the data ecosystem.
Develop and manage data pipelines, lakehouses, and warehouse assets within Microsoft Fabric.
Implement medallion architecture (bronze/silver/gold layers) and best practices in Fabric and OneLake.
Collaborate on enterprise data warehouse strategy and design.
Design and build Power BI datasets, semantic models, dashboards, paginated reports, and KPI scorecards.
Implement row-level security, optimized DAX, and best practices for performance and usability.
Analyze and interpret data related to manufacturing and distribution operations.
Partner with business teams to understand functional requirements and translate them into technical solutions.
Work with data extracted from multiple ERP systems; understand core tables, business logic, and transactional flows.

What We're Looking For

3–5+ years of professional SQL development experience.
Hands-on experience with data integration (ADF, Fabric Data Pipelines, SSIS, or similar).
Experience with Microsoft Fabric components (Data Factory, Lakehouse, Warehouse, Notebooks, Power BI).
Strong understanding of data warehousing concepts, dimensional modeling, and ETL orchestration.
Proficiency with Power BI, including data modeling, DAX, and report development.
Solid understanding of manufacturing and distribution processes and how they translate into data.
Ability to work with business users, gather requirements, and deliver high-quality data solutions.
Strong problem-solving skills and ability to work both independently and in cross-functional teams.