Azure Data Engineer

1. Customer Issue Resolution

• Act as the primary technical contact for customer-reported issues on

  Azure Synapse Analytics

  ,

  Azure Data Factory

  ,

  Azure Databricks

  , and

  Cosmos DB

  .
• Analyse and resolve data ingestion, transformation, and query performance issues using

  SQL

  ,

  PySpark

  , and

  Azure-native tools

  .
• Provide timely and effective solutions, workarounds, or guidance aligned with Microsoft support standards.

2. Root Cause Analysis & Preventive Actions

• Perform deep-dive investigations into recurring or complex issues.
• Use telemetry, logs, and diagnostic tools to identify root causes.
• Recommend and implement preventive measures to reduce future incidents.

3. Service Health Monitoring & Optimization

• Monitor health and performance of data pipelines and analytics workloads.
• Optimize resource usage and query performance in

  Synapse

   and

  Databricks

  .
• Ensure data flows are resilient, scalable, and cost-effective.

4. Secure Data Architecture Support

• Assist customers in implementing and troubleshooting

  secure data lake architectures

   using

  Azure Storage Gen2

  .
• Ensure compliance with data security policies, encryption standards, and access controls.

5. Integration & Connectivity Troubleshooting

• Resolve issues related to data movement between services like

  Cosmos DB

  ,

  Azure SQL

  ,

  Blob Storage

  , and

  Power BI

  .
• Support hybrid and multi-cloud data integration scenarios.

6. Power BI Support

• Assist with data model issues, refresh failures, and performance bottlenecks in

  Power BI

   reports.
• Guide customers on best practices for data visualization and report optimization.

7. Documentation & Knowledge Sharing

• Create and maintain technical documentation, runbooks, and troubleshooting guides.
• Contribute to internal knowledge bases and public-facing support articles.

8. Collaboration & Escalation Management

• Collaborate with product engineering teams for bug fixes and feature requests.
• Escalate critical issues appropriately while maintaining customer communication and expectations.

9. Customer Communication & Satisfaction

• Communicate clearly and empathetically with customers, ensuring technical concepts are understood.
• Maintain high customer satisfaction through proactive support and solution delivery.

MUST- HAVE:

Experience with Synapse Analytics, Azure Data Factory, and Azure Databricks.
Data engineering proficiency: SQL, PySpark, Power BI, data ingestion & transformation.Hands-on with Cosmos DB, Azure Storage Gen2, and secure data lake architecture.

NICE-HAVE:

Proven experience with cloud deployment and development tools (i.e. PowerShell, CLI, REST API, Visual Studio, .NET, SDK, JSON, ARM/Bicep templates).