Description

You will design, build, and support scalable data pipelines and curated data solutions using Azure Data Factory and SQL Server to enable analytics and operational use cases.

This role is on-site.

Responsibilities

• Design, develop, and maintain secure data pipelines using Azure Data Factory.
• Build and maintain curated data models in SQL Server to support analytics and operational workloads.
• Develop and optimize complex SQL queries, views, and stored procedures for performance.
• Implement data ingestion, transformation, and loading patterns across multiple source systems.
• Troubleshoot complex data issues, participate in root cause analysis, and maintain technical documentation.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Strong expertise in SQL Server, including performance tuning and data modeling.
• Hands-on experience building and supporting pipelines with Azure Data Factory.
• Experience working with .NET C# and Azure services.
• Solid experience with data migration and transformation.
• Experience with source control in Git and Azure DevOps.
• Familiarity with Agile development methodologies (Scrum, Kanban).

Preferred Skills

• Experience with Azure SQL, Azure Storage, and data quality or governance practices.
• Knowledge of Financial Services or Banking data domains.

Key Skills

Education

Any Graduate