Azure Data Engineer (ADF or Azure Data Factory)
About This Role
Key Responsibilities:
- Design and develop scalable, reliable data pipelines using Azure Data Factory (ADF).
- Ingest, transform, and load data from various sources into Azure-based data platforms.
- Collaborate with data architects, data analysts, and business stakeholders to gather requirements and design optimal data solutions.
- Build and optimize data models for both analytical and operational use.
- Ensure data integrity, quality, security, and compliance across the platform.
- Monitor and troubleshoot production data pipelines and processes.
- Document solutions, workflows, and data models for internal knowledge sharing and future maintenance.
- Stay updated on Azure best practices and new services.
Required Skills and Experience:
- Minimum 5 years of professional experience in Data Engineering roles.
- Strong expertise with Azure Data Factory (ADF) for building and managing ETL/ELT pipelines.
- Experience with Azure data services such as Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage.
- Solid understanding of SQL, data modeling, and database design.
- Knowledge of data integration patterns, performance optimization, and error handling.
- Proficiency in scripting languages such as Python or PowerShell is a plus.
- Familiarity with CI/CD pipelines and version control systems like Git.
- Strong problem-solving skills, attention to detail, and ability to work independently.
- Banking or financial services experience is highly desirable
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