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 advancements, new features, and best practices.

Preferred candidate profile

- Bachelors degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in data engineering, data platforms, or enterprise analytics systems.
- 5+ years of experience in modern data platforms such as Azure Data Services, Microsoft Fabric, or equivalent.
- Strong experience with:
- Microsoft Fabric (Lakehouse, Pipelines, Warehouse, Notebooks)
- SQL and data modeling (dimensional and normalized models)
- PySpark / Spark (preferred within Fabric notebooks)
- Solid understanding of:
- Data warehousing concepts and architectures
- ETL/ELT frameworks and pipeline orchestration
- Distributed data processing systems
- Experience integrating and supporting Power BI semantic models and datasets.
- Solid knowledge of data governance, security, and access control models.
- Excellent problem-solving, analytical, and performance optimization skills.
- Strong communication and stakeholder management skills.
- Ability to work in fast-paced, cross-functional, and agile environments.

📌 Data Analytics Engineer (Bengaluru)
🏢 Skyworks
📍 Bengaluru