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# ETL Developer

- **Company:** Intersources Inc.
- **Location:** Atlanta, GA, United States
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, JIRA, Microsoft Azure, Big Data, Cloud Engineering, Information Systems, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Warehousing, DevOps, Microsoft SQL Server, Power BI, Azure Data Lake, SQL Databases, Data Streaming, Azure Data Factory, Git, Information Technology, Azure Synapse Analytics, Serverless Computing, Databricks
- **Published:** September 4, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/31837326#/jobs/31837326

## About the Role

Bachelor's degree in Computer Science, Information Systems, or related field. 3 Years
3+ years of experience in ETL development with at least 1 year using Azure Data Factory. 5 Years
Proficiency in SQL, Azure Synapse, Azure Data Lake, and Azure Functions (minimum of 5 years experience). 5 Years
Experience with CI/CD pipelines, Git, and DevOps practices (minimum of 5 years experience). 5 Years
Strong understanding of data modeling, data warehousing, and cloud architecture (minimum of 5 years experience). 5 Years
Microsoft Azure certifications (e.g., DP-203, AZ-900).
Experience with Power BI, Databricks, or Python for data transformation. 4 Years
Familiarity with Agile methodologies and tools like JIRA or Azure Boards (minimum of 5 years experience). 5 Years

## Description

* Design and implement ETL processes using Azure Data Factory,Data Flows, and Mapping Data Flows.
 * Integrate data from various sources including SQL Server, Blob Storage, APIs, and third-party systems.
 * Develop and maintain data pipelines and data ware houses in Azure.
 * Monitor and troubleshoot ETL jobs to ensure data quality and performance.
 * Collaborate with analysts, and business stakeholders to understand data requirements.
 * Implement data governance, security, and compliance best practices.
 * Automate data workflows and optimize performance for large-scale data processing.


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