Adobe Experience Manager (AEM) Developer

Quantum Technologies LLC

Raleigh (NC)

On-site

USD 89,000 - 126,000

Full time

7 days ago
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Job summary

Quantum Technologies LLC in Raleigh, NC seeks an experienced Adobe Experience Manager (AEM) Developer with a background in data engineering to design and maintain Azure-based data solutions. The role involves building and optimizing data pipelines, warehouses, and lakehouse architectures using ADF, Synapse, Fabric, and related technologies.

The ideal candidate will have strong SQL/T-SQL skills, Python programming, and experience with real-time data processing and governance.

Qualifications

  • Strong experience with Microsoft Azure data services and related tooling.
  • Hands-on experience with ADF and data integration pipelines.
  • Experience with Fabric/Data Engineering and Synapse analytics.

Responsibilities

  • Design scalable data integration solutions in Azure and Fabric.
  • Develop data pipelines and maintain data warehouses/lakehouses.
  • Implement transformations with T-SQL and Python.
  • Ensure data security, governance, and access management.
  • Collaborate with stakeholders and troubleshoot production issues.

Skills

Azure data services
Azure Data Factory
Microsoft Fabric
Azure Synapse Analytics
SQL / T-SQL
Python
Azure Data Lake Storage Gen2
Azure Event Hubs
Power BI integration
Azure DevOps / CI/CD
ETL architecture & data modeling

Tools

Azure Databricks
Delta Lake
Terraform

Job description

Adobe Experience Manager (AEM) Developer

Location:

Duration:

9Months+ Extension

Domain Exposure:

Oil & Gas

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Adobe Experience Manager (AEM) Developer

Location: Raleigh, NC

Bill Rate: $78/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are looking for a skilled Senior Data Engineer to design, develop, and maintain modern enterprise data solutions using Microsoft Azure and Microsoft Fabric. The ideal candidate should have strong experience in Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and data integration technologies.

Key Responsibilities
  • Design and implement scalable data integration solutions using Azure Data Factory.
  • Develop data pipelines using Microsoft Fabric and Synapse Analytics.
  • Build and maintain enterprise data warehouses and lakehouse solutions.
  • Develop data transformation workflows using T-SQL and Python.
  • Implement data ingestion from multiple enterprise applications and sources.
  • Configure and manage Azure Data Lake Storage Gen2.
  • Develop real-time data processing solutions using Azure Event Hubs.
  • Optimize data processing performance and pipeline execution.
  • Implement data security, access management, and governance.
  • Collaborate with architects, analysts, and business stakeholders.
  • Troubleshoot data pipeline failures and resolve production issues.
Required Technical Skills
  • Strong experience with Microsoft Azure data services.
  • Hands-on experience with Azure Data Factory (ADF).
  • Experience with Microsoft Fabric and Fabric Data Engineering.
  • Knowledge of Azure Synapse Analytics.
  • Strong SQL and T-SQL programming skills.
  • Experience with Azure Data Lake Storage Gen2.
  • Programming experience with Python.
  • Knowledge of Azure Event Hubs and real-time data processing.
  • Experience with Power BI integration.
  • Familiarity with Azure DevOps and CI/CD pipelines.
  • Understanding of data modeling and ETL architecture.
Preferred Skills
  • Experience with Azure Databricks.
  • Knowledge of Delta Lake and Lakehouse architecture.
  • Familiarity with Microsoft Purview.
  • Experience with Terraform and infrastructure automation.
  • Knowledge of data governance and compliance.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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