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Job Details

Skills

Microsoft Fabric Data Engineering
Lakehouse architecture
OneLake
Fabric Notebooks
Fabric Data Factory
Azure API Management (APIM)
Azure Key Vault
Azure Logic Apps
IaC
Terraform
Ansible
Azure
Spark
PySpark

Summary

ESSENTIAL JOB FUNCTIONS:

Work as an individual contributor responsible for designing, developing, and supporting enterprise-grade integration and data engineering solutions on Microsoft Azure and Microsoft Fabric.
Design and implement robust, scalable, and secure integration and analytics solutions using Azure Integration Services and Microsoft Fabric, including:

SQL and data modeling
Microsoft Fabric Data Engineering
Lakehouse architecture
OneLake
Apache Spark and PySpark
Fabric Notebooks
Fabric Data Factory
Data Pipelines and ETL/ELT
Data Warehousing
Real-Time Analytics/Event Streaming
Azure Logic Apps
Azure Functions
Azure API Management (APIM)
Azure Service Bus
Event Grid
Event Hubs
Azure Storage Accounts
Azure Key Vault

Develop API-led and event-driven integration architectures to enable seamless communication between cloud, on-premises, SaaS, third-party applications, and analytical platforms.
Design and build scalable data ingestion, transformation, and orchestration solutions using Microsoft Fabric Data Factory, Data Pipelines, Spark Notebooks, and Lakehouses.
Develop and manage APIs using Azure API Management (APIM), including API security, versioning, throttling, policy management, and lifecycle governance.
Build enterprise data platforms leveraging Fabric Lakehouse, OneLake, Data Warehouse, and Delta tables for modern analytics workloads.
Develop ETL/ELT pipelines integrating enterprise applications, databases, data lakes, ERP systems, Salesforce, and SaaS platforms.
Design and implement real-time and event-driven data processing solutions using Event Hubs, Event Grid, Service Bus, Fabric Event Streams, and Spark Structured Streaming.
Develop serverless integration components using Azure Functions and Azure Integration Services.
Implement data governance, security, and compliance using Microsoft Purview, Azure AD (Entra ID), Managed Identities, OAuth 2.0, OpenID Connect, Key Vault, and role-based access control (RBAC).
Optimize Spark workloads, Lakehouse performance, data partitioning, and ETL processing for large-scale enterprise data platforms.
Build and maintain CI/CD pipelines using Azure DevOps and Git integration for automated deployment of Azure and Fabric solutions across multiple environments.
Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep.
Design monitoring, logging, alerting, and operational dashboards using Azure Monitor, Log Analytics, Application Insights, and Fabric Monitoring Hub.
Ensure high availability, scalability, reliability, security, and performance of integration and data platforms.
Perform production support, incident resolution, root cause analysis (RCA), performance tuning, and continuous improvement activities.
Collaborate with enterprise architects, data architects, application teams, business analysts, and infrastructure teams to define integration and data strategies.
Participate in architecture reviews, code reviews, governance activities, and data platform best practice initiatives.

EDUCATION & EXPERIENCE:

MINIMUM REQUIRED QUALIFICATIONS

Experience: 7–12 years of software development and data engineering experience with strong expertise in Microsoft Azure, Azure Integration Services, Microsoft Fabric, and enterprise application integration.

SKILLS, KNOWLEDGE AND ABILITIES

Microsoft Fabric & Data Engineering

Hands-on experience with Microsoft Fabric Data Engineering and Analytics services.
Strong expertise in:

Fabric Lakehouse
OneLake
Fabric Data Factory
Fabric Notebooks
Fabric Data Warehouse
Real-Time Analytics
Event Streams
Semantic Models

Strong proficiency in Spark, PySpark, SQL, and large-scale distributed data processing.
Experience designing and implementing ETL/ELT pipelines, medallion architecture (Bronze, Silver, Gold), and Delta Lake solutions.
Experience with data modeling, dimensional modeling, star/snowflake schemas, and analytics solution design.
Experience integrating enterprise and SaaS applications with Fabric and Azure data platforms.
Knowledge of data governance, security, lineage, and monitoring using Microsoft Purview and Fabric governance capabilities.

Azure Integration

Strong hands-on experience with Azure Integration Services (AIS).
Expertise in Azure Logic Apps, Azure API Management (APIM), Azure Functions, Service Bus, Event Grid, and Event Hubs.
Experience migrating integrations from BizTalk Server to Azure Integration Services.
Strong knowledge of REST, SOAP, JSON, XML, XSLT, OpenAPI/Swagger, and asynchronous messaging patterns.
Experience implementing enterprise integration patterns and API-first architectures.

DevOps & Cloud

Proficiency in Azure DevOps, Git, CI/CD, release management, and automated deployments.
Experience with Terraform, Bicep, or ARM Templates.
Experience implementing Infrastructure as Code and environment automation.
Strong troubleshooting, analytical, and problem-solving skills.
Experience working in Agile/Scrum environments.

Preferred Qualifications

Microsoft Certified: Fabric Data Engineer Associate (DP-700).
Microsoft Certified: Azure Developer Associate (AZ-204).
Microsoft Certified: Azure Integration and Azure Data Platform certifications.
Experience with Power BI, semantic models, and enterprise reporting solutions.
Experience with Databricks, Delta Lake, and modern data platform architectures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172818
Position Id: 9028237
Posted 8 hours ago

Fitment

Dice Job Match Score™

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Murali Gunturi

Recruiter @ Maxima Technologies, LLC

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Azure Integration & Fabric Data Engineer

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Murali Gunturi

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