Job description

Key Responsibilities: • Design, implement, and manage end-to-end data pipelines using Microsoft Fabric and Azure Data Factory. • Develop data models and analytical datasets using Microsoft Fabric's OneLake, Power BI, and Dataflows. • Integrate and optimize data ingestion, transformation, and storage across Azure services (e.g., Synapse, Data Lake, SQL, Delta Lake). • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Ensure best practices in data governance, security, compliance, and performance tuning. • Monitor and troubleshoot data pipelines, ensuring reliability and scalability. • Stay updated with Microsoft Fabric and Azure ecosystem advancements and propose improvements. • Create and maintain documentation for data flows, architecture, and configuration settings. Required Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or a related field. • 3+ years of experience in data engineering or cloud engineering with focus on Azure. • Hands-on experience with Microsoft Fabric, including Data Engineering, Data Factory, and Power BI within Fabric. • Proficiency in Azure Synapse Analytics, Azure Data Lake, Delta Lake, and Azure SQL. • Strong knowledge of SQL, T-SQL, Python or PySpark for data transformations. • Experience with data integration, ETL/ELT pipelines, and data warehousing concepts. • Familiarity with DevOps practices and tools like Azure DevOps or GitHub Actions. • Excellent problem-solving and communication skills.

Requirements