Tech Lead - Microsoft Fabric

Saxon Global; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Saxon Global is seeking a skilled Data Engineer for Hyderabad to drive architecture and implementation on Microsoft Fabric across Lakehouse, Data Warehouse, and OneLake. You will build batch and streaming pipelines, manage orchestration with Data Factory, and implement CI/CD for Fabric workloads.

Candidate should master PySpark/Spark SQL in Fabric Notebooks, optimize T-SQL for Fabric DW, and ensure secure access via Azure AD/RBAC with Key Vault.

Qualifications

• Deep hands-on expertise with Microsoft Fabric as a unified data platform.
• Proficiency in Fabric Lakehouse, Fabric Data Warehouse, OneLake, and Delta/Parquet table formats.
• Strong experience with Fabric Data Factory (pipelines and dataflows) for orchestration and transformation.
• Hands-on experience with Fabric Notebooks (PySpark/Spark SQL) and Fabric SQL Analytics Endpoint.
• Understanding of Microsoft Fabric Lakehouse architecture patterns and medallion architecture (Bronze/Silver/Gold).
• Experience with Fabric Eventstream and Real-Time Intelligence for streaming scenarios.
• Familiarity with Fabric Deployment Pipelines, Git integration, and CI/CD practices for Fabric workloads.

Skills

Microsoft Fabric

Fabric Lakehouse

Fabric Data Warehouse

OneLake

Delta/Parquet formats

Fabric Data Factory

Fabric Notebooks

PySpark/Spark SQL

Fabric SQL Analytics Endpoint

Medallion architecture

Fabric Eventstream

Real-Time Intelligence (KQL)

Fabric Deployment Pipelines

Git integration

CI/CD for Fabric

Batch data pipelines

Streaming data pipelines

Azure Event Hubs/Iot Hub/Kafka

T-SQL for Fabric Data Warehouse

dbt or Fabric Dataflows Gen2

Azure Data Lake Storage Gen2

Azure Synapse Analytics

Azure Data Factory

Azure Event Hubs

Azure Key Vault

Git-based version control

Tools

Fabric Git integration

Job description

Required Technical Skills

• Deep hands-on expertise with Microsoft Fabric as a unified data platform.
• Proficiency in Fabric Lakehouse, Fabric Data Warehouse, OneLake, and Delta/Parquet table formats.
• Strong experience with Fabric Data Factory (pipelines and dataflows) for orchestration and transformation.
• Hands-on experience with Fabric Notebooks (PySpark/Spark SQL) and Fabric SQL Analytics Endpoint.
• Understanding of Microsoft Fabric Lakehouse architecture patterns and medallion architecture (Bronze/Silver/Gold).
• Experience with Fabric Eventstream and Real-Time Intelligence (formerly Real-Time Analytics / KQL Databases) for streaming scenarios.
• Familiarity with Fabric Deployment Pipelines, Git integration, and CI/CD practices for Fabric workloads.

Data Engineering & Processing

• Advanced proficiency in PySpark / Spark SQL for large-scale distributed data processing within Fabric Notebooks.
• Experience designing and building batch and streaming data pipelines integrating Azure Event Hubs, Azure IoT Hub, or Kafka.
• Strong T-SQL skills for Fabric Data Warehouse development including query optimization and complex analytical functions.
• Experience with dbt or Fabric Dataflows Gen2 for semantic transformation layer management.

Azure Ecosystem & DevOps

• Practical experience with Azure services integral to Fabric: Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Data Factory, Azure Event Hubs, and Azure Key Vault.
• Proficiency with Git-based version control and branching strategies; experience with Fabric Git integration.
• Experience with CI/CD pipelines for data workloads using Azure DevOps or GitHub Actions.
• Understanding of Microsoft Entra ID (Azure AD), RBAC, and security best practices for Fabric workspaces and OneLake.