Description

Architect and build enterprise data solutions, including data warehouses and analytics platforms.

This role is on-site.

Responsibilities

• Design and implement data warehouse and analytics solutions on-premise and in the cloud.
• Develop ETL/ELT processes while managing data quality, privacy, and security standards.
• Build and maintain cloud-native data lakes and warehousing using Azure services.
• Write Python, Scala, or Java code for distributed processing tasks.
• Implement and maintain CI/CD pipelines for data solutions.

Required Skills

• 14+ years in Data Engineering or Architecture.
• 4+ years designing and implementing data warehouse or analytics solutions.
• 3+ years in data warehousing concepts, including ETL/ELT, data quality, and MDM.
• 3+ years using cloud data platforms and cloud-native data lakes or warehouses.
• Proficiency with Microsoft Azure services: Azure Fabric, Azure Data Factory, and Azure Synapse.
• 2+ years experience with Python, Scala, or Java for Spark processing.
• Familiarity with CI/CD using Azure DevOps, Git, or Jenkins.
• Previous experience in the banking sector.

Key Skills

Education

Any Graduate