DE&A - Core - Advanced Visualization & Cloud Reporting - Azure Analysis Services

Role overview

DE&A - Core - Advanced Visualization & Cloud Reporting - Azure Analysis Services at Zensar

description for MS Fabric Data Engineering Lead includes the following qualifications and

Responsibilities

• Lead the design and implementation of data architecture using Microsoft Fabric, including OneLake, Data Factory, Synapse, and Power BI.
• Develop and govern data pipelines, lakehouse architecture, and semantic models.
• Define best practices for data integration, transformation, and orchestration using Fabric and related Azure services.
• Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions.
• Mentor data engineering teams and establish architectural standards and guidelines.
• Ensure data quality, governance, and security across the data lifecycle.
• Stay updated with new Fabric features and capabilities and assess their relevance to ongoing projects.
• Technical

Required qualifications

• hands-on Microsoft Fabric Data Engineering Lead to oversee the development and delivery of modern data engineering solutions using Microsoft Fabric.
• Will lead a team of engineers to design, build, and maintain scalable data pipelines and lakehouse architectures that enable business intelligence and advanced analytics.
• Proficient in SQL Server Business Intelligence Development Studio, SSRS, SSIS, SQL Server, Visual Studio, and specializing in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Microsoft Fabric, and PySpark.
• Adept at designing and implementing scalable data solutions using modern cloud architectures.
• Communication skills: Strong communication skills and the ability to interact with clients' architects, other technical decision makers, and offshore technical teams Professional
• A minimum Bachelor's Degree in Science or Engineering Duties and

Required skills

• Proven experience in data architecture and engineering on Microsoft Azure.
• Hands-on experience with Microsoft Fabric (e.g., OneLake, Data Engineering in Fabric, Data Factory, Synapse, Power BI).
• Strong understanding of lakehouse paradigms, Delta Lake, and data mesh concepts.
• Proficiency in SQL, Python, and Spark for data processing and transformation.
• Experience with CI/CD and DevOps practices for data engineering.
• Familiarity with data governance tools like Purview is a plus.
• Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
• Experience Required: 10+ years of proven experience in the Software industry 2+ years of proven experience working as a MS Fabric Data Engineering solutions MS Fabric Data Engineering Lead

Employment details

• Location: Bangalore [Karnataka] [India]