Job Description

We are looking for a skilled Data Engineer with strong expertise in SQL Development, SSIS, and Microsoft Fabric. The ideal candidate should have hands-on experience in T-SQL Development and working across the Bronze and Gold layers of Microsoft Fabric . Additionally, experience in Power BI will be a plus. Key Responsibilities: SQL & SSIS Development: Design, develop, and optimize SQL queries, stored procedures, and functions. Develop and maintain SSIS packages for ETL processes. Ensure data quality, performance tuning, and error handling in ETL pipelines. MS Fabric & Data Engineering: Work on Bronze & Gold layers of Microsoft Fabric for data transformation and enrichment. Develop and manage T-SQL scripts for data processing and transformation. Implement best practices for data modeling and data pipeline optimization. Power BI Integration (Preferred): Collaborate with BI teams to support Power BI dashboards and reports. Optimize datasets and queries for efficient reporting. Collaboration & Process Improvement: Work closely with data analysts, business teams, and other engineers to deliver data solutions. Ensure best practices in database design, performance tuning, and security. Automate workflows and optimize data pipelines for scalability. Required Skills & Qualifications: Technical Expertise: Strong hands-on experience in SQL Development & T-SQL scripting . Experience in SSIS (SQL Server Integration Services) for ETL processes. Knowledge of Microsoft Fabric , specifically Bronze & Gold layers . Familiarity with data engineering concepts , data modeling, and data warehousing. Exposure to Power BI for data visualization (preferred). Other Skills: Ability to troubleshoot and optimize SQL queries for performance. Experience in handling large datasets and optimizing ETL processes. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with Azure Data Services (Azure Synapse, Data Factory, etc.) is a plus. Certifications in Microsoft SQL Server, Azure Data Engineering, or Power BI are beneficial.