Data Ingestion and Transformation Architect

  • Posted 60+ days ago | Updated 5 hours ago

Overview

Remote
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Orchestration
Data Visualization
Artificial Intelligence
Use Cases
Reporting
Collaboration
Analytics
Microsoft
Data Lake
Storage
Databricks
Microsoft Power BI
Microsoft Azure
API Management
API
Management
Analytical Skill
Problem Solving
Conflict Resolution
FOCUS
Data Integration

Job Details

Job Title: Data Ingestion and Transformation Architect

Location: Remote

Job Description:

We are seeking a highly skilled Data Ingestion and Transformation Architect to join our team. In this role, you will leverage your expertise in Azure technologies to design and implement robust data solutions. You will be responsible for architecting and managing data ingestion, transformation, and integration processes, utilizing Azure Synapse Analytics, Azure Data Lake Storage Gen 2, and Azure Data Factory for orchestration. You will also work with Azure Databricks for analytics and AI use cases, and Power BI for data visualization and self-service analytics.

Key Responsibilities:

  • Design and implement data ingestion and transformation solutions using Azure Synapse Analytics, Azure Data Lake Storage Gen 2, and Azure Data Factory.
  • Architect and integrate Azure Databricks for analytics and AI-driven use cases.
  • Enable governed self-service analytics and interactive reporting through Power BI.
  • Utilize Azure API Management to create, publish, and manage APIs for data integration.
  • Collaborate with teams to ensure efficient and scalable data solutions.

Qualifications:

  • Expert knowledge in Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake Storage Gen 2.
  • Strong expertise in Azure Data Factory, Azure Databricks, and Power BI.
  • Proficient in Azure API Management for API creation and management.
  • Strong analytical and problem-solving skills with a focus on data integration and transformation.


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