Role & responsibilities
- Design, develop, and implement end-to-end data solutions using Microsoft Fabric components such as Lakehouse, Data Factory (Pipelines), Dataflows Gen2, Warehouse, and Notebooks.
- Build and maintain scalable data ingestion, transformation, and orchestration pipelines for structured and unstructured data.
- Develop and implement robust data models and semantic layers to support downstream analytics, including Power BI.
- Ensure data quality, reliability, and performance optimization across all Fabric workloads.
- Manage and optimize Delta Lake tables and Lakehouse architectures, including partitioning, indexing, and storage optimization.
- Collaborate with IT, analytics, and business teams to gather requirements, define architecture, and deliver enterprise data solutions.
- Implement and maintain data governance, lineage, security, and compliance frameworks using Fabric and Purview integration.
- Build and maintain real-time and near-real-time data processing solutions using Fabric Event Streams and streaming datasets.




- Design and manage data warehousing solutions within Fabric Warehouse for high-performance analytics.
- Develop and maintain documentation, including data architecture diagrams, data dictionaries, pipeline flows, and operational runbooks.
- Integrate data from various sources, including ERP systems, APIs, databases, files, and external platforms, into Fabric.
- Monitor and troubleshoot data pipelines, workloads, and capacity performance to ensure SLAs are met.
- Enable and support self-service analytics by preparing curated datasets and collaborating with Power BI developers.
- Implement CI/CD and DevOps practices for data pipelines and Fabric artifacts.
- Optimize storage and compute utilization to manage cost and capacity planning within Fabric environments.
- Work in Agile methodology to design, develop, test, and deploy data engineering solutions and enhancements.
- Continuously stay updated with Microsoft Fabric advancem

📌 Data Analytics Engineer (Bengaluru)
🏢 Skyworks
📍 Bengaluru