Description

You will lead the design and implementation of end-to-end data solutions on Azure.

Responsibilities

• Architect and develop scalable data solutions using Azure Databricks, Azure Data Factory, and Azure SQL DB.
• Design data ingestion pipelines utilizing Delta Live Tables (DLT) and Structured Streaming for batch and real-time processing.
• Optimize Spark job performance and Databricks workflows through advanced tuning and internals optimization.
• Develop metadata-driven ingestion frameworks to automate and scale data pipeline management.
• Translate business requirements into long-term data architecture and warehousing solutions.
• Implement data quality checks, governance policies, and security measures to ensure data integrity.

Required Skills

• 8+ years of professional experience in data architecture or related roles.
• Deep expertise in Azure Databricks and Azure Data Factory.
• Strong experience with Microsoft SQL Server, including DDL, DML, and Stored Procedures.
• Proven ability to optimize Spark jobs and Databricks workflows.
• Experience with Azure DevOps, including Git repositories, pipelines, and work item management.
• Hands-on experience with WebForms, ASP.NET MVC, Core, and Blazor (Frameworks 4.8.2, Core 6, and 8).
• Experience performing upgrades from .NET Framework to Cloud environments.
• Knowledge of Web services and APIs.
• Experience with Nota Fiscal integration in a related sector.
• Competency in Windows Server troubleshooting (IIS, Event Viewer, Performance Monitor).
• Familiarity with Azure services such as Authentication and Key Vault.
• Experience working within Lean-Agile/SCRUM environments using ADO and Sprint Planning.

Key Skills

Education

Any Graduate