Microsoft Fabric & Azure Data Platform Developer(ID: 4078)

• Design and develop enterprise data platforms using Microsoft Fabric and Azure data services.
• Define architecture across OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
• Design and implement Medallion Architecture for enterprise data ingestion, transformation, modelling, and consumption.
• Develop and optimize data solutions using PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
• Design Power BI architecture and semantic models, including standardized KPI definitions and reporting governance.
• Define enterprise data modelling, integration patterns, APIs, and data platform modernization strategies.
• Establish and support data governance, ownership, stewardship, security, privacy, GDPR, and compliance controls.
• Implement practices for data quality, data lineage, metadata management, and master/reference data management.
• Support Azure DevOps, Git, CI/CD, release management, and deployment automation.
• Optimize data-platform performance through workload management, scalability, performance tuning, and capacity planning.
• Work closely with stakeholders to understand business and technical requirements and translate them into scalable data-platform solutions.
• Produce clear architecture documentation and contribute to technical decision-making., * Design scalable and maintainable Microsoft Fabric and Azure data architectures.
• Translate business and technical requirements into effective data-platform architecture and implementation approaches.
• Design robust data ingestion, transformation, modelling, and consumption pipelines.
• Apply Medallion Architecture effectively across enterprise data solutions.
• Develop and optimize data processing solutions using PySpark, Python, SQL, and Spark SQL.
• Design effective Power BI semantic models and establish consistent KPI definitions.
• Implement appropriate data governance, security, privacy, GDPR, and compliance controls.
• Identify and resolve data quality, performance, scalability, and workload-management issues.
• Implement automated CI/CD and deployment processes using Azure DevOps and Git.
• Document architecture, technical decisions, integration patterns, and platform standards clearly.
• Communicate effectively with technical and business stakeholders and make sound architectural decisions.

What we bring to the table:

• An opportunity to work on modern enterprise data platforms using Microsoft Fabric and Azure.
• Exposure to advanced data architecture, analytics, data governance, and platform modernization initiatives.
• The opportunity to work with OneLake, Lakehouse, Data Warehouse, Power BI, Azure Data Factory, and modern data engineering technologies.
• A role involving architecture, hands-on data engineering, governance, performance optimization, and stakeholder collaboration.

• 4-6 years of overall professional experience in data engineering, data platform development, data architecture, or a closely related field.
• Strong architecture experience with Microsoft Fabric and enterprise Azure data platforms.
• Hands-on expertise with Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
• Strong understanding of Medallion Architecture and enterprise data ingestion, transformation, modelling, and consumption patterns.
• Hands-on experience with PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
• Experience with Power BI architecture, semantic modelling, KPI standardization, and reporting governance.
• Strong knowledge of enterprise data modelling, integration patterns, APIs, and data-platform modernization.
• Experience with data governance, data ownership, stewardship, security, privacy, GDPR, and compliance.
• Understanding of data quality, lineage, metadata management, and master/reference data concepts.
• Experience with Azure DevOps, Git, CI/CD, release management, and deployment automation.