7-10 years of hands-on experience in Microsoft Fabric and Azure fundamentals
Proficient in Azure Synapse and Azure Data Factory
Strong expertise in Spark and PySpark
Skilled in Python and SQL programming
Experience in refactoring pandas-based logic to PySpark
Knowledge of data modeling and warehousing concepts
Familiarity with Git and Azure DevOps practices
Responsibilities
Migrate data products from Azure Synapse to Microsoft Fabric
Design and support scalable data pipelines
Enhance data products for analytics and business needs
Build solutions using Azure technologies
Refactor existing transformation logic into scalable code
Implement various data ingestion patterns
Validate code and data outputs for accuracy and completeness
Perform data quality checks and troubleshooting
Benefits
Opportunities for professional development and training
Collaborative work environment with cross-functional teams
Engagement with advanced cloud computing technologies
Impactful projects that drive business decision-making
Flexible working arrangements and potential remote options
Full Job Description
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
About Flowserve
Flowserve Corporation is an American multinational corporation that develops and manufactures flow control equipment such as valves, pumps, seals, and automation systems. It serves a wide range of industries including oil and gas, chemical, power generation, and water management. Flowserve has a global presence with over 18,000 employees in more than 55 countries. The company was founded in 1997, but its history dates back to the 1790s with the founding of Simpson & Thompson, a British pump manufacturer. Flowserve is committed to sustainability and has implemented various initiatives to reduce its environmental impact, including reducing greenhouse gas emissions and water usage.
