ETL Developer

ETL Developer (Azure Data Factory) - **Short Term Project for 3-5 months period** Open to W2 contract & C2C.

Important:

Candidates on H1B - no sponsorship since short term contract

Green Card holders must be able to work directly, not through employer

We are seeking an experienced ETL Developer with strong Azure Data Factory (ADF) expertise to design, develop, and maintain scalable data integration pipelines within the Azure cloud ecosystem. The ideal candidate will have deep knowledge of SQL, data warehousing principles, and cloud-based ETL solutions, with proven experience supporting enterprise data integrations and migrations.

Required Qualifications

8+ years of experience in data engineering, ETL development, and strong SQL programming

Minimum 5 years of hands-on experience working with Azure data services

Strong expertise in Azure Data Factory (ADF) including:

Pipeline design and development

Data orchestration and workflow automation

Integration Runtime configuration

Linked Services and Dataset management

Monitoring and troubleshooting ADF pipelines

Strong proficiency in Microsoft SQL Server including performance tuning and optimization

Experience building and maintaining CI/CD pipelines using Azure DevOps

Experience developing or integrating Azure Functions within data workflows

Strong understanding of:

Data warehousing concepts

ETL/ELT design patterns

Data quality and validation strategies

Error handling and logging best practices

Nice to Have

Experience migrating data from on-premise or legacy systems to Azure using ADF

Experience implementing:

Incremental load strategies

Change Data Capture (CDC)

Data partitioning and performance optimization

Experience integrating data from REST/SOAP APIs and handling high-volume data ingestion

Experience with CRM data migration or transformation (e.g., Siebel or similar platforms)

Exposure to additional Azure data services such as:

Azure Synapse Analytics

Azure Data Lake Storage

Azure SQL Database

Education

Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s degree preferred)

Experience working with APIs and best practices for handling large-volume data