Acetech Group Corporation
Azure Fabric Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Fabric Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Requires 12+ years of data engineering experience, strong skills in Microsoft Fabric, Azure services, Python, and data modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Pipeline #DevOps #IAM (Identity and Access Management) #ADLS (Azure Data Lake Storage) #Azure #Azure Data Factory #Computer Science #Data Engineering #Scala #ADF (Azure Data Factory) #Version Control #Python #BI (Business Intelligence) #Synapse #Batch #Spark SQL #AI (Artificial Intelligence) #ML (Machine Learning) #Data Science #Microsoft Azure #SQL (Structured Query Language) #Microsoft Power BI #Security #Spark (Apache Spark) #Cloud #Data Modeling #PySpark #Snowflake #Azure SQL #Data Governance
Role description
Job Summary
We are seeking a highly skilled Lead Data Engineer with strong expertise in Microsoft Fabric and Azure analytics ecosystem to design and deliver modern, scalable data platforms.
The ideal candidate should be a good team player with 12+ years of experience in data engineering in Microsoft technologies, deep hands-on expertise in Microsoft Azure Fabric platform (OneLake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Power BI) and preferably some experience with Azure AI/ML services.
This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native analytics solutions, mentoring engineering teams, and close collaboration with architects, AI Engineers, Data Scientists, and Business Stakeholders to deliver impactful, data-driven solutions.
Mandatory Skills/Competencies:
· Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
· 8–10+ years of experience in Data Engineering, with at least 3+ years in Azure ecosystem
· Strong hands-on expertise in Microsoft Fabric, including:
o OneLake & Lakehouse architecture
o Data Factory in Fabric
o Synapse Data Engineering / Data Warehousing
o Power BI integration with Fabric
· Proficiency in Python, PySpark, SQL, and Spark-based processing
· Strong experience building data pipelines (batch and streaming)
· Expertise in data modeling (star/snowflake schemas, medallion architecture)
· Experience with Azure data services:
o Azure Data Factory / Synapse Pipelines
o ADLS Gen2
o Azure SQL / SQL MI
· Experience in CI/CD, version control, and DevOps practices
· Strong understanding of data governance, security, and access control (RBAC, IAM, encryption)
· Experience working with structured, semi-structured, and unstructured data sources
· Strong problem-solving, communication, and stakeholder management skills
· Excellent verbal and written communication skills.
· Ability to work cross-functionally with product managers, business stakeholders, and engineering teams.
· Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.
Job Summary
We are seeking a highly skilled Lead Data Engineer with strong expertise in Microsoft Fabric and Azure analytics ecosystem to design and deliver modern, scalable data platforms.
The ideal candidate should be a good team player with 12+ years of experience in data engineering in Microsoft technologies, deep hands-on expertise in Microsoft Azure Fabric platform (OneLake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Power BI) and preferably some experience with Azure AI/ML services.
This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native analytics solutions, mentoring engineering teams, and close collaboration with architects, AI Engineers, Data Scientists, and Business Stakeholders to deliver impactful, data-driven solutions.
Mandatory Skills/Competencies:
· Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
· 8–10+ years of experience in Data Engineering, with at least 3+ years in Azure ecosystem
· Strong hands-on expertise in Microsoft Fabric, including:
o OneLake & Lakehouse architecture
o Data Factory in Fabric
o Synapse Data Engineering / Data Warehousing
o Power BI integration with Fabric
· Proficiency in Python, PySpark, SQL, and Spark-based processing
· Strong experience building data pipelines (batch and streaming)
· Expertise in data modeling (star/snowflake schemas, medallion architecture)
· Experience with Azure data services:
o Azure Data Factory / Synapse Pipelines
o ADLS Gen2
o Azure SQL / SQL MI
· Experience in CI/CD, version control, and DevOps practices
· Strong understanding of data governance, security, and access control (RBAC, IAM, encryption)
· Experience working with structured, semi-structured, and unstructured data sources
· Strong problem-solving, communication, and stakeholder management skills
· Excellent verbal and written communication skills.
· Ability to work cross-functionally with product managers, business stakeholders, and engineering teams.
· Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.
