Microsoft Fabric Indent

Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses

Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions

Ensure data integrity, quality, and governance throughout Microsoft Fabric environments

Job Description

Collaborate with stakeholders to translate business needs into actionable data solutions

Troubleshoot and optimize existing Fabric implementations for enhanced performance

Microsoft Fabric expertise: demonstrated experience in developing and maintaining complex data pipelines with Microsoft Fabric

Data Engineering foundations: solid experience in data warehousing, ETL/ELT processes, and data modeling (dimensional, normalized)

Azure knowhow: strong working knowledge of Azure services, especially Data Factory, Synapse Analytics, and Azure SQL Database

Coding fluency: proficiency in SQL, Python, or other languages for data scripting, transformation, and automation

Big data background: familiarity with big data technologies (Hadoop, Spark, etc.)

Databricks familiarity: experience with Databricks technologies

Machine Learning exposure: understanding how data transformations support downstream ML workflows

Data Visualization skills: ability to develop dashboards or reports using tools like Power BI enhances insights delivery