Job Title: Data Engineer (Microsoft Fabric Azure Databricks LangGraph/RAG DB)
Location: Atlanta GA (Hybrid - Must be physically located in Georgia)
We are currently seeking candidates who meet the following qualification
Mandatory Qualifications - Bachelors degree in Computer Science Information Systems or a related field.
- 2 3 years of experience in data engineering or related roles.
- Proficiency in SQL Python and Spark.
- Hands-on experience with Microsoft Fabric and Power BI.
- Strong understanding of ETL/ELT pipelines and data warehousing concepts.
- Familiarity with LangGraph and RAG DB concepts.
Preferred Qualifications:
- Experience with CI/CD automation using Azure DevOps.
- Familiarity with data governance tools such as Microsoft Purview or Unity Catalog.
- Experience in SSIS package migration and maintenance.
Responsibilities:
- Design build and maintain ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
- Support migration and maintenance of SSIS packages from legacy systems.
- Implement and manage Medallion architecture (Bronze Silver Gold) for data lifecycle management and quality assurance.
- Develop and maintain Fabric and Databricks Notebooks using Python SQL and Spark for data transformation.
- Build curated datasets to support Power BI dashboards and analytical solutions.
- Collaborate with data analysts business users and stakeholders to deliver high-quality business-ready data assets.
- Apply data governance policies aligned with Microsoft Purview or Unity Catalog.
- Support monitoring logging and CI/CD automation using Azure DevOps.
Technical Stack
Microsoft Fabric (Dataflows Pipelines Notebooks OneLake) Azure Databricks SQL Server / SQL Managed Instances Power BI SSIS LangGraph RAG DB Azure DevOps Microsoft Purview / Unity Catalog
If you meet these qualifications please submit your application via link provided in LinkedIn.
Kindly do not call the general line to submit your application.
Job Title: Data Engineer (Microsoft Fabric Azure Databricks LangGraph/RAG DB) Location: Atlanta GA (Hybrid - Must be physically located in Georgia) We are currently seeking candidates who meet the following qualification Mandatory Qualifications Bachelors degree in Computer Science Information Syst...
Job Title: Data Engineer (Microsoft Fabric Azure Databricks LangGraph/RAG DB)
Location: Atlanta GA (Hybrid - Must be physically located in Georgia)
We are currently seeking candidates who meet the following qualification
Mandatory Qualifications - Bachelors degree in Computer Science Information Systems or a related field.
- 2 3 years of experience in data engineering or related roles.
- Proficiency in SQL Python and Spark.
- Hands-on experience with Microsoft Fabric and Power BI.
- Strong understanding of ETL/ELT pipelines and data warehousing concepts.
- Familiarity with LangGraph and RAG DB concepts.
Preferred Qualifications:
- Experience with CI/CD automation using Azure DevOps.
- Familiarity with data governance tools such as Microsoft Purview or Unity Catalog.
- Experience in SSIS package migration and maintenance.
Responsibilities:
- Design build and maintain ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
- Support migration and maintenance of SSIS packages from legacy systems.
- Implement and manage Medallion architecture (Bronze Silver Gold) for data lifecycle management and quality assurance.
- Develop and maintain Fabric and Databricks Notebooks using Python SQL and Spark for data transformation.
- Build curated datasets to support Power BI dashboards and analytical solutions.
- Collaborate with data analysts business users and stakeholders to deliver high-quality business-ready data assets.
- Apply data governance policies aligned with Microsoft Purview or Unity Catalog.
- Support monitoring logging and CI/CD automation using Azure DevOps.
Technical Stack
Microsoft Fabric (Dataflows Pipelines Notebooks OneLake) Azure Databricks SQL Server / SQL Managed Instances Power BI SSIS LangGraph RAG DB Azure DevOps Microsoft Purview / Unity Catalog
If you meet these qualifications please submit your application via link provided in LinkedIn.
Kindly do not call the general line to submit your application.
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