Who we are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description:
Job Title : Senior Data Engineer Microsoft Fabric & Azure Analytics
Job Type : W2/C2C
Experience : 9 18 years
Location : Redmond Washington
Responsibilities:
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7 years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.
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Expertise in Microsoft Fabric: Lakehouse Dataflows Gen2 Pipelines Notebooks.
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Strong experience with Azure Data Factory Azure SQL and Azure Data Lake Storage Gen2.
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Experience working with structured and semi-structured data (JSON XML CSV Parquet).
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Experience with conversational AI platforms or integration with AI-driven analytics.
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Knowledge of multi-agent orchestration and federated query systems.
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Strong track record of scaling data pipelines and optimizing compute/storage performance.
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Proven ability to build metadata-driven architectures and reusable components.
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Proficiency in Power BI or other visualization and reporting tools.
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Strong programming skills in SQL Python PySpark and/or Scala.
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Familiarity with agent-based architectures and conversational AI integration is a plus.
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Solid understanding of data modeling governance security and best practices.
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Design implement and manage ETL/ELT pipelines using Microsoft Fabric (Dataflows Pipelines Lakehouse Warehouse SQL) and Azure Data Factory.
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Build and maintain metadata-driven Lakehouse architectures with threaded datasets to support multiple data consumption patterns.
-
Develop agent-specific data lakes and an orchestration layer for a central uber agent capable of querying across agents to answer customer questions.
-
Enable interactive analytics and AI-driven insights via Power BI Azure OpenAI and other tools.
-
Ensure data quality lineage security and governance across all ingestion and transformation processes.
-
Collaborate closely with product analytics and AI teams to understand business requirements and deliver scalable solutions.
-
Optimize storage compute and pipeline performance while balancing cost-efficiency.
-
Document best practices standards and reusable components to enable long-term maintainability.
Qualification:
Who we are Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers. Job Description: Job Title : Senior Data Engineer Microsoft Fabric & Azure Analytics Job Type : W2/C2C Experience : 9 1...
Who we are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description:
Job Title : Senior Data Engineer Microsoft Fabric & Azure Analytics
Job Type : W2/C2C
Experience : 9 18 years
Location : Redmond Washington
Responsibilities:
-
7 years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.
-
Expertise in Microsoft Fabric: Lakehouse Dataflows Gen2 Pipelines Notebooks.
-
Strong experience with Azure Data Factory Azure SQL and Azure Data Lake Storage Gen2.
-
Experience working with structured and semi-structured data (JSON XML CSV Parquet).
-
Experience with conversational AI platforms or integration with AI-driven analytics.
-
Knowledge of multi-agent orchestration and federated query systems.
-
Strong track record of scaling data pipelines and optimizing compute/storage performance.
-
Proven ability to build metadata-driven architectures and reusable components.
-
Proficiency in Power BI or other visualization and reporting tools.
-
Strong programming skills in SQL Python PySpark and/or Scala.
-
Familiarity with agent-based architectures and conversational AI integration is a plus.
-
Solid understanding of data modeling governance security and best practices.
-
Design implement and manage ETL/ELT pipelines using Microsoft Fabric (Dataflows Pipelines Lakehouse Warehouse SQL) and Azure Data Factory.
-
Build and maintain metadata-driven Lakehouse architectures with threaded datasets to support multiple data consumption patterns.
-
Develop agent-specific data lakes and an orchestration layer for a central uber agent capable of querying across agents to answer customer questions.
-
Enable interactive analytics and AI-driven insights via Power BI Azure OpenAI and other tools.
-
Ensure data quality lineage security and governance across all ingestion and transformation processes.
-
Collaborate closely with product analytics and AI teams to understand business requirements and deliver scalable solutions.
-
Optimize storage compute and pipeline performance while balancing cost-efficiency.
-
Document best practices standards and reusable components to enable long-term maintainability.
Qualification:
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