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Data Engineer MS Fabric

Flowserve Corp

  • Irving, TX
  • 17 days ago

    Highlights

    We support 10,000+ customers worldwide, creating products to meet the needs of our customers who are supplying energy, fresh water, pharmaceuticals and other essentials to consumers, businesses and governments globally. We are looking for a Senior Data Engineer with strong 7-10 year hands-on experience in Azure and Microsoft Fabric to help modernize and migrate data products from Azure Synapse to Microsoft Fabric.

    Numbers & Facts

    LocationIrving, TX
    IndustryEngineering Services
    Company Size10,000 employees or more
    Year Founded1997

    Description

    Company Overview:

    If a culture of excellence, innovation and ownership is what you're searching for, consider putting your experience in motion at Flowserve. As an individual contributor, or as a leader of people, your enterprise mindset will ensure Flowserve's position as the global standard in comprehensive flow control solutions. Here, your opportunity for professional development and industry leading rewards will be supported by our foundational commitments to the values of people first, integrity and safety. Thinking beyond opportunity and reward, at Flowserve, we are inspired by working together to create extraordinary flow control solutions to make the world better for everyone!

    Overview

    We are looking for a Senior Data Engineer with strong 7-10 year hands-on experience in Azure and Microsoft Fabric to help modernize and migrate data products from Azure Synapse to Microsoft Fabric. The ideal candidate will have experience with Azure Data Factory, notebooks, Spark/PySpark, and building scalable data pipelines that support analytics and business reporting needs.

    Responsibilities

    • Migrate existing data products, code, and workloads from Azure Synapse to Microsoft Fabric

    • Design, build, and support scalable data pipelines and data processing workflows

    • Develop and enhance data products that support business and analytics use cases

    • Build solutions using Azure Data Factory, notebooks, Spark/PySpark, SQL, and Python

    • Refactor pandas-based transformation logic into scalable PySpark and Python implementations

    • Work with structured and semi-structured data to enable downstream consumption

    • Implement full, delta, and CDC-based ingestion patterns from multiple data sources

    • Apply data warehousing concepts and medallion architecture principles in solution design

    • Validate migrated code and data outputs to ensure accuracy, consistency, and completeness

    • Perform data quality checks, performance tuning, monitoring, and issue resolution

    • Troubleshoot pipeline, code, and environment issues across Azure-based platforms

    • Collaborate with data analysts, engineers, and business stakeholders to gather requirements and deliver solutions

    • Document technical designs, migration approaches, and data product logic

    • Support code reviews, testing, release, and deployment activities

    Required Technical Skills

    • 7-10 years of strong 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-based implementations

    • Strong experience with Git and Azure DevOps, including pull requests, CI/CD, and deployment automation

    • Experience building reusable engineering patterns and shared libraries

    • Solid understanding of Azure storage, compute, security, and identity

    • Strong knowledge of data modeling, data transformation, and warehousing concepts

    • Experience with performance optimization and tuning

    Technologies, Platforms, and Tools

    • Microsoft Fabric

    • Microsoft Azure Fundamentals

    • Azure Data Factory

    • Preferred knowledge on source systems such as SAP ECC, S/4 HANA, Oracle ERP, Salesforce

    • Worked with Delta, Parquet, JSON, and CSV file formats

    • Azure DevOps, Terraform

    Flowserve is a world-leading manufacturer and aftermarket service provider of comprehensive flow control systems. Join a company whose people are committed to building a more sustainable future to make the world better for everyone. With 16,000+ employees in 50+ countries, we combine our global reach with local presence. Our team challenges themselves to approach each situation with ingenuity and creativity to help provide our customers with the most innovative flow control products and services. We support 10,000+ customers worldwide, creating products to meet the needs of our customers who are supplying energy, fresh water, pharmaceuticals and other essentials to consumers, businesses and governments globally. We invite you to put your talents and career in motion at Flowserve.

    Req ID : R-20463

    Job Family Group : Information Technology

    Job Family : IT Business Analysis

    EOE including Disability/Protected Veterans. Flowserve will also not discriminate against an applicant or employee for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-workers. Pay Transparency Nondiscrimination Provision

    If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access flowservecareers.com as result of your disability. You can request a reasonable accommodation by sending an email to employment@flowserve.com. In order to quickly respond to your request, please use the words "Accommodation Request" as your subject line of your email. For more information, read the Accessibility Process.

    About Company

    Our global team of more than 18,000 employees in 55 countries can put together the total solution—from project planning to lifecycle maintenance programs to some of the most proven technology on the planet. All so you can get more from your capital investment. Exceed your operational goals. And always come through, when failure is not an option.

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