
Azure Data Engineering Expert
3 days ago
We're seeking an experienced Data Factory Engineer to design, develop, and maintain ETL pipelines using Azure Data Factory. If you have a strong background in data engineering, SQL, and Azure services, we'd love to hear from you.
The ideal candidate will have hands-on experience with Azure Data Factory (pipelines, triggers, linked services, datasets), proficiency in T-SQL and SQL Server (SSMS, stored procedures, indexing, optimization), and familiarity with parameterization, dynamic content, and data flows in ADF.
Responsibilities include:
- Designing, developing, and maintaining ETL pipelines using Azure Data Factory.
- Writing complex SQL queries, stored procedures, and performance-tuned scripts for data transformation and validation.
- Integrating data from various sources including Azure Blob Storage, SQL Server, REST APIs, and on-premise systems.
- Monitoring and troubleshooting data pipelines and workflows to ensure data quality and reliability.
Required Skills & Qualifications:
- Strong hands-on experience with Azure Data Factory (pipelines, triggers, linked services, datasets).
- Proficiency in T-SQL and SQL Server (SSMS, stored procedures, indexing, optimization).
- Experience with Azure SQL Database, Azure Synapse Analytics, or Data Lake.
- Familiarity with parameterization, dynamic content, and data flows in ADF.
- Understanding of data warehousing concepts, ETL best practices, and data modeling.
Preferred Qualifications:
- Microsoft Certified: Azure Data Engineer Associate or equivalent.
- Experience with Power BI, Databricks, or Logic Apps is a plus.
- Knowledge of Python or PowerShell for automation.
Join our team if you are passionate about data engineering and want to work with a talented group of professionals who share your enthusiasm for innovation and problem-solving.
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