We are looking for a Senior Data Engineer – Microsoft Fabric & Azure with 10–15 years of experience in Data Engineering to design, build, and optimize modern cloud data platforms.
The ideal candidate will have strong hands-on experience across Microsoft Fabric and Microsoft Azure, with expertise in building scalable data solutions using Lakehouse, Data Factory, Data Warehouse, Real-Time Intelligence, Azure Synapse, Azure Data Lake Storage Gen2, PySpark, Spark, SQL, and T-SQL.
You will work on modern data platforms that enable organizations to transform complex data into reliable, actionable business insights.
Key Responsibilities
- Design and implement scalable, secure, and high-performance data engineering solutions using Microsoft Fabric and Azure.
- Build and optimize Microsoft Fabric Lakehouse, Data Warehouse, Data Factory, and Real-Time Intelligence solutions.
- Develop robust data ingestion and transformation pipelines using Azure Data Factory and Microsoft Fabric.
- Design and manage data storage solutions using Azure Data Lake Storage Gen2.
- Build data transformation and processing workloads using PySpark and Spark Notebooks.
- Develop complex SQL and T-SQL queries for data transformation, analysis, and performance optimization.
- Work with Azure Synapse Analytics for large-scale data processing and analytics workloads.
- Implement data integration, orchestration, and transformation pipelines following best practices.
- Optimize data pipelines and workloads for performance, scalability, reliability, and cost efficiency.
- Implement appropriate security, governance, and access controls across cloud data platforms.
- Collaborate with data analysts, BI developers, architects, and business stakeholders to deliver end-to-end data solutions.
- Support Power BI integrations and enable data models and datasets for business intelligence and reporting.
- Implement CI/CD practices for data engineering workloads using Azure DevOps.
- Troubleshoot production data pipelines and resolve performance, reliability, and data quality issues.
- Contribute to data architecture, engineering standards, and modernization initiatives.
Required Skills & Experience
- 10–15 years of professional experience in Data Engineering.
- Strong hands-on experience with Microsoft Fabric.
- Experience with Microsoft Fabric components including:
- Fabric Lakehouse
- Fabric Data Factory
- Fabric Data Warehouse
- Fabric Real-Time Intelligence
- Strong experience with Microsoft Azure data services.
- Hands-on experience with Azure Data Factory.
- Strong experience with Azure Synapse Analytics.
- Experience working with Azure Data Lake Storage Gen2 (ADLS Gen2).
- Strong hands-on experience with PySpark and Apache Spark.
- Strong SQL and T-SQL development skills.
- Experience designing and optimizing data pipelines and ETL/ELT processes.
- Experience with cloud data architecture, data integration, and data transformation.
- Experience working with Azure DevOps and CI/CD for data engineering workflows.
- Experience with Power BI and supporting analytics/BI workloads.
- Strong understanding of data engineering best practices, performance optimization, scalability, and data quality.
Preferred Skills
- Experience designing enterprise-scale Microsoft Fabric data platforms.
- Experience with Fabric Real-Time Intelligence and real-time data processing.
- Strong understanding of Lakehouse and modern data architecture patterns.
- Experience implementing data governance and security within Azure/Fabric environments.
- Experience with automated deployment and infrastructure management for data platforms.
- Experience working in large-scale cloud migration or data modernization programs.
- Microsoft Azure or Fabric certifications are a plus.
What We're Looking For
- Strong senior-level data engineering expertise with a focus on Microsoft technologies.
- Ability to design and implement enterprise-grade cloud data platforms.
- Strong problem-solving and performance optimization skills.
- Ability to work across data engineering, analytics, BI, and cloud infrastructure teams.
- Strong communication skills and the ability to work with both technical and business stakeholders.
- A continuous-learning mindset with an interest in modern data platforms and Microsoft Fabric.