Azure Data Engineer
Title: Azure Data Engineer
Location: Remote
Duration: Fulltime (W2) (Not providing any sponsorship)
Job Summary:
The ideal candidate will possess deep technical skills in Microsoft Fabric data engineering including PowerBI , with proven ability in end-to-end integrations, custom connectors, real-time data processing, and secure API management using OAuth 2.0. The resource will be responsible for architectural strategy, solution delivery, governance, security setup and administration.
Key Responsibilities:
- Lead the design and architecture of Microsoft Fabric data engineering solutions and Power BI visualizations that are scalable, secure, and aligned with business goals.
- Proficiency in Power BI development, data modeling, and visualization concepts with expertise in building PBI dashboards
- Experience with SQL and DAX, along with familiarity with data warehouse concepts
- Build custom connectors, integrate with third-party services and internal APIs, and enable real-time data integrations across systems.
- Integrate with 3rd party systems like SAP, Salesforce, IBM OpenPages, Azure Data Factory, SQL, and other enterprise data systems for analytics and data-driven applications.
- Drive OAuth 2.0-based authorization flows for secure and compliant system integrations.
- Design and maintain Azure API Management (APIM) interfaces with version control, policy enforcement, and monitoring.
- Ensure best practices for application lifecycle management (ALM) using tools like Azure DevOps or GitHub.
- Guide and mentor development teams, enforce coding standards, and ensure architectural alignment across multiple projects.
- Collaborate closely with business users, IT leaders, and project managers to translate requirements into technical solutions.
- Experience in configuring Power BI Service for enterprise-wide access, sharing, and collaboration
- Establish governance frameworks for user roles, permissions, and data access
Required Skills and Experience:
· 10+ years in software/application development and enterprise architecture.
· 5+ years in Data Engineering with at least 1.5 years in Microsoft Fabric.
· Proven experience in custom connectors, REST APIs, OAuth 2.0, webhooks, and API-based integrations.
· Strong knowledge of front-end and back-end integration, including UI/UX development principles.
· Experience integrating with Databricks, Azure Services, and cloud/on-prem systems.
· Excellent understanding of real-time data integration and event-driven architecture.
· Experience with CI/CD pipelines for Power Platform and automation using Azure DevOps and GitHub.
· Excellent communication, stakeholder engagement, and documentation skills.