Role & responsibilities

- Design, develop, and maintain scalable data pipelines using Microsoft Fabric.

- Build and manage Lakehouse, Data Warehouse, OneLake, Dataflows, and Fabric Pipelines.

- Develop data transformation and processing solutions using PySpark, Notebooks, and SQL.

- Implement ETL/ELT workflows for structured and unstructured data ingestion.

- Optimize data models, performance, reliability, and cost efficiency.

- Ensure data quality, governance, security, and compliance standards.

- Collaborate with analytics, BI, and business teams to deliver trusted datasets.

- Implement CI/CD and automate deployment of data engineering solutions.

Preferred candidate profile

- Strong hands-on experience with Microsoft Fabric (Lakehouse, OneLake, Pipelines, Data Warehouse, Notebooks, Semantic Models).

- Expertise in PySpark and advanced SQL.

- Experience with Azure Data Factory, Azure Databricks, ADLS, and Delta Lake.

- Solid understanding of data modeling, ETL/ELT, and Lakehouse architecture.

- Experience with Power BI and analytics data platforms.

- Excellent problem-solving, stakeholder management, and communication skills

📌 Data Engineer : Microsoft Fabric & Azure Databricks (Chennai)
🏢 Orion Systems
📍 Chennai