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We are seeking a Senior Data Engineer to design, build, and optimize modern data solutions that enable analytics, reporting, and data-driven decision making. This role will focus heavily on Microsoft Fabric, Power BI, and SQL, working closely with stakeholders across analytics, engineering, and business teams. You’ll play a key role in shaping data architecture, improving performance, and ensuring data reliability at scale.
Job Responsibility:
Design, build, and maintain scalable data pipelines using Microsoft Fabric
Develop and optimize SQL queries, views, and stored procedures for analytics and reporting
Model data using Lakehouse, Warehouse, and semantic models within Fabric
Support and enhance Power BI datasets, reports, dashboards, and data refresh strategies
Implement data transformation and ingestion processes (ETL / ELT)
Ensure data quality, consistency, governance, and security best practices
Collaborate with analysts and business stakeholders to translate requirements into technical solutions
Optimize performance across Fabric workloads, SQL engines, and Power BI models
Monitor and troubleshoot data pipelines and reporting issues
Mentor junior data engineers and contribute to data standards and best practices
Requirements:
5+ years of experience in data engineering or analytics engineering
Strong hands-on experience with SQL (performance tuning, indexing, query optimization)
Experience working with Power BI datasets, semantic models, and DAX fundamentals
Practical experience with Microsoft Fabric (Lakehouse, Data Factory, Warehouses, Pipelines)
Experience designing data models for reporting and analytics use cases
Understanding of data governance, security, and access controls
Strong communication skills and ability to work cross-functionally
Nice to have:
Experience with Azure data services (Synapse, Data Factory, Azure SQL, ADLS)
Knowledge of DAX optimization and Power BI performance tuning
Experience with data versioning, CI/CD, or DevOps for analytics solutions
Familiarity with Python, Spark, or notebooks within Fabric
Experience supporting enterprise or large-scale BI environments