Azure Data Factory Engineer for Scalable Data Pipelines

Multicloud4u Technologies; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

Multicloud4u Technologies seeks an Azure Data Engineer to design, build, and maintain scalable data pipelines in Azure using ADF, ADLS Gen2, and SQL/T-SQL. You will implement batch ETL/ELT workflows and ingestion from diverse sources.

The role also covers enterprise integrations, Logic Apps, and secure data movement via SFTP and APIs, with emphasis on monitoring, error handling, and meeting SLA requirements across large datasets.

Qualifications

• Hands-on experience designing Azure data pipelines and data integration patterns.
• Strong knowledge of SQL/T-SQL for data extraction and transformation.
• Experience with cloud-based integrations and enterprise data movement.

Responsibilities

• Design, develop, and maintain scalable Azure-based data pipelines using ADF.
• Build reusable ADF pipelines, datasets, linked services, triggers, and orchestration.
• Implement batch ETL/ELT workflows for large-volume datasets.
• Develop ingestion pipelines from SFTP, SharePoint, APIs, and applications.
• Implement monitoring, error handling, retries, and alerting; ensure SLA compliance.

Skills

Azure Data Factory (ADF)

SQL / T-SQL

Cloud Integrations

Job description

Multicloud4u Technologies seeks an Azure Data Engineer to design, build, and maintain scalable data pipelines in Azure using ADF, ADLS Gen2, and SQL/T-SQL. You will implement batch ETL/ELT workflows and ingestion from diverse sources.

The role also covers enterprise integrations, Logic Apps, and secure data movement via SFTP and APIs, with emphasis on monitoring, error handling, and meeting SLA requirements across large datasets.