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Data Engineer MS Fabric

Flowserve Corporation

Irving, Texas • Today

Full-time

Sr. Solutions Architect - Services Presales - Microsoft Fabric & Data Engineering

SHI International Corporation

Remote • Today

Full-time

USD 128,000.00 - 176,000.00 per year

Principal Solution Engineer, Data & AI, Dallas Innovation Hub

Microsoft Corporation

Dallas, Texas • Today

Full-time

USD 130,900.00 - 251,900.00 per year

Senior Data Engineer on-site)

Tabletop Media LLC d/b/a Ziosk

Plano, Texas • Today

Full-time

.DATA ARCHITECT LEAD.INFO TECH SERVICES

Dallas County

Dallas, Texas • Today

Full-time

Job Details

Skills

Reporting
Data Processing
Workflow
Analytics
Use Cases
Change Data Capture
Data Warehouse
Software Design
Data Quality
Issue Resolution
Collaboration
Migration
Testing
Python
SQL
Pandas
Code Refactoring
PySpark
Apache Spark
Git
Continuous Integration
Continuous Delivery
Storage
Data Modeling
Warehouse
Performance Tuning
Microsoft
SAP ECC
SAP HANA
Oracle ERP
Salesforce.com
Apache Parquet
JSON
Computerized System Validation
File Formats
Microsoft Azure
DevOps
Terraform

Reporting
Data Processing
Workflow
Analytics
Use Cases
Change Data Capture
Data Warehouse
Software Design
Data Quality
Issue Resolution
Collaboration
Migration
Testing
Python
SQL
Pandas
Code Refactoring
PySpark
Apache Spark
Git
Continuous Integration
Continuous Delivery
Storage
Data Modeling
Warehouse
Performance Tuning
Microsoft
SAP ECC
SAP HANA
Oracle ERP
Salesforce.com
Apache Parquet
JSON
Computerized System Validation
File Formats
Microsoft Azure
DevOps
Terraform

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10130613
Position Id: 118345351134b0d4b60fe8aa6db2fb61
Posted 30+ days ago

Fitment

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Job Details

Skills

Reporting
Data Processing
Workflow
Analytics
Use Cases
Change Data Capture
Data Warehouse
Software Design
Data Quality
Issue Resolution
Collaboration
Migration
Testing
Python
SQL
Pandas
Code Refactoring
PySpark
Apache Spark
Git
Continuous Integration
Continuous Delivery
Storage
Data Modeling
Warehouse
Performance Tuning
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SAP ECC
SAP HANA
Oracle ERP
Salesforce.com
Apache Parquet
JSON
Computerized System Validation
File Formats
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DevOps
Terraform

Reporting
Data Processing
Workflow
Analytics
Use Cases
Change Data Capture
Data Warehouse
Software Design
Data Quality
Issue Resolution
Collaboration
Migration
Testing
Python
SQL
Pandas
Code Refactoring
PySpark
Apache Spark
Git
Continuous Integration
Continuous Delivery
Storage
Data Modeling
Warehouse
Performance Tuning
Microsoft
SAP ECC
SAP HANA
Oracle ERP
Salesforce.com
Apache Parquet
JSON
Computerized System Validation
File Formats
Microsoft Azure
DevOps
Terraform

Summary

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

Dice Id: 10130613
Position Id: 118345351134b0d4b60fe8aa6db2fb61
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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Easy Apply

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