The Role
Migrate data products from Azure Synapse to Microsoft Fabric and design scalable data pipelines using Azure Data Factory, notebooks, Spark/PySpark, Python, and SQL. Implement ingestion (full, delta, CDC), refactor pandas to PySpark, apply medallion architecture, perform data quality checks, tuning, monitoring, troubleshooting, and collaborate with stakeholders to document and deploy solutions.
Summary Generated by Built In
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
Skills Required
- Hands-on experience with Microsoft Fabric
- Strong Microsoft Azure fundamentals and knowledge of Azure storage, compute, security, and identity
- Experience with Azure Synapse
- Experience with Azure Data Factory
- Experience with Spark and PySpark
- Proficiency in Python
- Proficiency in SQL
- Experience with pandas and refactoring pandas logic to PySpark/Spark
- Experience with Git
- Experience with Azure DevOps including pull requests, CI/CD, and deployment automation
- Experience with notebooks (e.g., Jupyter)
- Ability to build reusable engineering patterns and shared libraries
- Strong knowledge of data modeling, data transformation, data warehousing, and medallion architecture
- Experience implementing full, delta, and CDC-based ingestion patterns
- Experience with performance optimization and tuning
- Worked with Delta, Parquet, JSON, and CSV file formats
- Experience with Terraform
- Preferred knowledge of source systems such as SAP ECC, S/4 HANA, Oracle ERP, Salesforce
Flowserve Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flowserve Corporation and has not been reviewed or approved by Flowserve Corporation.
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Retirement Support — Retirement programs are described as strengthened with an enhanced 401(k) match, added employer contributions, and a shorter vesting schedule following recent plan changes. Feedback suggests this compares well with large‑company norms and is a notable part of total rewards.
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Healthcare Strength — Core medical, dental, and vision coverage with HSA/FSA options is described as solid, complemented by life/disability insurance and an EAP. Feedback suggests overall health benefits are comprehensive for a large industrial employer.
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Equity Value & Accessibility — An employee stock purchase plan with a company match makes equity participation accessible and financially attractive. Feedback suggests this feature stands out versus typical offerings and adds meaningful value.
Flowserve Corporation Insights
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The Company
What We Do
Flowserve is one of the world's largest manufacturers of pumps, valves and seals with over 19,000 employees in over 60 countries. Built on more than 50 world-renowned heritage brands, the equity and customer loyalty we have earned over the past 220 years is the foundation of our leadership position across the globe.
