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Data Engineer_ Azure MS Fabric

Xoriant CorporationDallas, TX🇺🇸United StatesPosted Oct 21, 2026

Why This Role Stands Out

Accelerate your career by joining Xoriant Corporation to build cutting-edge, scalable data solutions using the latest Microsoft Fabric and Azure technologies in a flexible hybrid environment. This role is perfect for a driven data engineer eager to make a tangible impact on organizational decision-making through high-performance ETL workflows and cloud-native architecture. Apply today to elevate your technical expertise and thrive within a collaborative, innovative team culture.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
14 hours ago
SQLGitETLScrumDatabricksAzureAgileCI/CDAzure Data Factory

Job Description

Job Requirements
.Job Summary:
We are looking for a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Microsoft Fabric to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will play a key role in enabling data-driven decision-making across the organization through robust, high-performance data solutions on the Azure platform.
Key Responsibilities:
  • Design and implement ETL/ELT workflows using Azure Data Factory (ADF).
  • Leverage Microsoft Fabric (including OneLake, Dataflows Gen2, Notebooks, Pipelines, and Lakehouse) to develop end-to-end data engineering solutions.
  • Build and maintain data pipelines to ingest, transform, and store data from various sources (structured and unstructured).
  • Optimize data processes for performance, scalability, and reliability.
  • Work closely with data analysts, BI developers, and stakeholders to deliver business-ready data models.
  • Ensure data quality, security, and governance standards are implemented and followed.
  • Participate in solution architecture, technical documentation, and performance tuning.
  • Troubleshoot and resolve data-related issues in development, QA, and production environments.

Work Experience
Required Skills and Qualifications:
  • 4+ years of experience in data engineering with a strong focus on the Azure ecosystem.
  • Expertise in Azure Data Factory (ADF) - pipelines, data flows, triggers, integration runtimes.
  • Hands-on experience with Microsoft Fabric, especially with Lakehouse architecture, OneLake, and Fabric Pipelines.
  • Strong SQL skills and experience working with Azure Synapse, Databricks, or other distributed compute platforms.
  • Experience in working with delta lakes, parquet files, and data lake storage (ADLS Gen2).
  • Good understanding of data modeling, data warehousing, and ETL best practices.
  • Familiarity with DevOps, CI/CD pipelines, and Git integration for data solutions.
  • Strong problem-solving, analytical, and communication skills.
  • Knowledge of Azure Data Lake, Azure SQL, and Data Governance tools like Purview.
  • Understanding of security & access control mechanisms in Azure.
  • Experience working in Agile/Scrum teams

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