Azure Data Engineer

Navsan; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Navsan is seeking an Azure Data Engineer to design, develop, and support scalable data pipelines and EDW solutions in a remote capacity. You will work with ADF, Synapse, Fabric, ADLS, and Power BI to enable enterprise data integration and analytics.

The role emphasizes ETL/ELT development, advanced SQL, data modelling, and production support, with CI/CD via Azure DevOps and Git.

Qualifications

• Experience with Azure Data Factory, Synapse Analytics, Azure SQL, ADLS, and Microsoft Fabric.
• Advanced SQL/T-SQL development and data integration expertise.
• Understanding of EDW concepts and data modelling including fact/dimension structures.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Synapse, Fabric, and ADLS.
• Build and orchestrate ADF pipelines to feed the Enterprise Data Warehouse (EDW).
• Develop and optimize ETL/ELT processes for reliable data movement.
• Create complex SQL/T-SQL queries, procedures, views, and data transformations.
• Integrate data from databases, APIs, cloud applications, and files.
• Monitor, troubleshoot, and optimize pipelines and workloads.
• Participate in requirements gathering, design, testing, deployment, and support.
• Implement CI/CD using Azure DevOps and Git.
• Utilize Azure Key Vault, Logic Apps, Functions, and Storage services.
• Support Power BI reporting and analytics.

Skills

Azure Data Factory

Azure Synapse Analytics

Azure SQL

ADLS

Microsoft Fabric

ETL/ELT

SQL/T-SQL

EDW concepts

Data modelling

Azure DevOps

Git

CI/CD

Pipeline monitoring

Power BI data models

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Azure Data Factory

Azure Synapse Analytics

Azure SQL

ADLS

Microsoft Fabric

Power BI

Job description

Role & responsibilities

Location: Remote
Employment Type: Full-Time

Job Summary

We are seeking a skilled and motivated Azure Data Engineer with expertise in Azure Data Platform technologies, Enterprise Data Warehousing (EDW), ETL/ELT development, and Microsoft Fabric. The candidate will design, develop, and support scalable data integration solutions and data warehouses.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric, Azure SQL Database, and Azure Data Lake Storage (ADLS).
• Build and orchestrate ADF pipelines to ingest data from multiple enterprise systems into the Enterprise Data Warehouse (EDW).
• Develop and optimize ETL/ELT processes for reliable data movement and transformation.
• Create complex SQL/T-SQL queries, stored procedures, views, and data transformation logic.
• Integrate data from diverse sources including databases, APIs, cloud applications, and files.
• Monitor, troubleshoot, and optimize pipelines and production workloads.
• Participate in requirements gathering, design, development, testing, deployment, and support activities.
• Implement CI/CD processes using Azure DevOps and Git.
• Utilize Azure Key Vault, Logic Apps, Azure Functions, and Storage services.
• Support Power BI reporting and analytics requirements.

Required Skills

• Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL, ADLS, and Microsoft Fabric.
• Strong experience with ETL/ELT processes and data integration.
• Advanced SQL/T-SQL development and database optimization.
• Enterprise Data Warehouse (EDW) concepts and implementation.
• Data modelling including fact/dimension structures and source-to-target mapping.
• Azure DevOps, Git, CI/CD, and release management.
• Pipeline orchestration, monitoring, troubleshooting, and production support.
• Power BI data models and reporting knowledge.
• Strong communication, analytical, and documentation skills.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• Microsoft Azure certifications such as DP-203 or Microsoft Fabric certifications.