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Data Engineer_Azure MS Fabric

Xoriant CorporationDallas, TX🇺🇸United States

Why this role stands out

Advance your career by architecting cutting-edge data solutions in this high-impact role that leverages the latest Microsoft Fabric and Azure technologies within a collaborative, growth-oriented environment. This hybrid position is perfect for a skilled data engineer who thrives on solving complex challenges and wants to play a pivotal role in shaping robust, scalable analytics ecosystems. Apply today to elevate your expertise and join a team dedicated to innovation and professional excellence.

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationDallas, TX, United States

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