Job Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read LessJob Title: Data Engineer (Microsoft Azure / Microsoft Fabric)
Experience: 4 - 7 Years
Contract Duration: 2 Months (Extendable)
Start Date: Immediate / ASAP
End Date: 30 April 2026
Shift: Full EST Coverage Preferred
Role Overview
We are seeking a skilled Data Engineer with strong expertise in Microsoft Fabric and the Azure data ecosystem. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, transformations, and integrations to support AI-ready analytics and business intelligence workloads.
This is a hands-on role focused on implementing modern Lakehouse architectures and building reliable data pipelines across Bronze Silver Gold layers within Microsoft Fabric.
Key Responsibilities
Data Pipeline Development
Design, build, and maintain data ingestion, transformation, and curation pipelines within Microsoft Fabric.Develop and optimize data pipelines across Fabric workspaces for analytics and AI workloads.Implement data replication, synchronization, and Change Data Capture (CDC) mechanisms across systems.Lakehouse & Data Architecture
Implement and maintain Lakehouse architecture following the Bronze, Silver, and Gold data layers.Collaborate with Data Architects, BI teams, and analysts to align lakehouse structures with analytical and AI requirements.Optimize data lake performance through partitioning, efficient file formats (Delta, Parquet), and cost-effective storage strategies.Data Integration & Transformation
Integrate data from multiple sources and build efficient batch and streaming ingestion pipelines.Implement robust ETL/ELT frameworks for scalable data processing.BI & Semantic Modeling Collaboration
Work closely with Power BI developers and analysts to deliver optimized semantic models and datasets.Ensure datasets are aligned with dimensional models to enable high-performance reporting.Data Governance & Quality
Implement data quality checks, transformation standards, and governance controls across data layers.Maintain traceability, lineage, and compliance using Microsoft Purview.Automation & CI/CD
Build orchestration and monitoring solutions using Azure Data Factory, Synapse, or equivalent tools.Develop and maintain CI/CD pipelines using GitHub Actions or Azure DevOps for automated deployments.Security & Compliance
Apply enterprise security standards including:Encryption at rest and in transitRole-Based Access Control (RBAC)Data masking and governance policiesEnsure compliance with NIST, ISO 27000, and SOC 2 standards.Monitoring & Observability
Implement data validation, logging, and monitoring frameworks using Azure Monitor or Fabric Data Activator.Infrastructure Automation
Support infrastructure deployment using Infrastructure as Code (IaC) tools such as:TerraformBicepARM TemplatesContinuous Improvement
Explore and adopt new capabilities within Microsoft Fabric and Azure ecosystem.Leverage AI-assisted development tools to enhance delivery speed and efficiency.Required Skills & Qualifications
4-7 years of experience in Data Engineering or Data Platform development.Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI.Strong programming skills in SQL and Python.Experience building ETL/ELT pipelines and data automation frameworks.Experience implementing CDC and large-scale data ingestion pipelines.Knowledge of Lakehouse architecture and Bronze-Silver-Gold data modeling.Experience building CI/CD pipelines using GitHub Actions or Azure DevOps.Experience implementing security controls in Azure data environments.Hands-on experience with Microsoft Purview for data governance and lineage.Strong collaboration and problem-solving skills.Tools & Technologies
Microsoft FabricAzure Data FactoryAzure SynapsePower BIAzure SQLAzure Data Lake StorageDatabricksMicrosoft PurviewPythonSQLGitTerraform / Bicep / ARM TemplatesAzure MonitorNice to Have
Experience with Azure AI Search or vector databases.Knowledge of Fabric Data Activator.Familiarity with semantic search, embeddings, and Retrieval-Augmented Generation (RAG).Understanding of Data Mesh or Domain-Driven Data Architecture.Experience with data observability tools such as Monte Carlo.Experience optimizing OneLake performance and cost efficiency. Read Less