Data Engineer MS Fabric

Flowserve

Automatic Control Technology

Irving, TX - USA

Senior Specialist / Project Manager

Experteer Overview

As a Senior Data Engineer, you will lead the modernization of data products by migrating workloads from Azure Synapse to Microsoft Fabric. You will design and implement scalable data pipelines and processing workflows to support analytics and reporting, leveraging Azure Data Factory, notebooks, Spark/PySpark, and Python. You’ll validate migrated code, ensure data quality, and collaborate with analysts and stakeholders to deliver data products that drive insights. This role offers hands-on modernization work, cross-functional collaboration, and the opportunity to shape data architecture at scale.

Responsibilities

Migrate data products, code, and workloads from Azure Synapse to Microsoft Fabric
Design, build, and support scalable data pipelines and processing workflows
Develop data products to support business analytics use cases
Implement pipelines using Azure Data Factory, notebooks, Spark/PySpark, SQL, and Python
Refactor pandas-based transformations to PySpark/Python implementations
Handle structured and semi-structured data for downstream consumption
Implement delta and CDC-based ingestion from multiple sources
Apply medallion architecture and data warehousing concepts in design
Validate migrated code and data outputs for accuracy and completeness
Perform data quality checks, tuning, monitoring, and issue resolution
Troubleshoot pipelines, code, and environments on Azure-based platforms
Collaborate with data analysts, engineers, and stakeholders to gather requirements
Document technical designs, migration approaches, and data product logic
Support code reviews, testing, release, and deployment activities

Key requirements

7-10 years of hands-on experience with Microsoft Fabric and Azure fundamentals
Strong hands-on experience with Azure Synapse and Azure Data Factory
Strong hands-on experience with Spark and PySpark
Proficiency in Python and SQL
Experience with pandas and refactoring to PySpark/Spark
Experience with Git and Azure DevOps (pull requests, CI/CD, deployment automation)
Experience building reusable engineering patterns and shared libraries
Solid understanding of Azure storage, compute, security, and identity
Strong knowledge of data modeling, transformation, and warehousing concepts
Experience with performance optimization and tuning

collaboration with cross-functional teams requirements gathering and stakeholder communication problem-solving and troubleshooting Microsoft Fabric Azure Synapse Azure Data Factory

Description

As a Senior Data Engineer, you will lead the modernization of data products by migrating workloads from Azure Synapse to Microsoft Fabric. Y…

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