- Architect and implement end-to-end data solutions using Microsoft Fabric.
- Define data ingestion transformation and modeling strategy using Lakehouse/Warehouse.
- Build scalable ETL/ELT pipelines using Data Factory Spark and Dataflows Gen2.
- Design enterprise semantic models and govern Power BI datasets.
- Implement security governance and compliance frameworks.
- Collaborate with business teams to translate requirements into architectures.
- Lead technical teams and establish best practices for Fabric usage.
- Optimize Lakehouse performance storage layer and reporting models.
Qualifications :
- Minimum 8 years of experience in data engineering roles.
- Data Modeling Strong expertise in designing and optimizing data models.
- ETL Concepts Strong understanding of ETL/ELT principles and best practices.
- Microsoft Fabric Hands-on experience with Fabric components and architecture.
Additional Information :
Nice To Have Skills
- EA Governance Strong knowledge of enterprise architecture governance frameworks.
- OneLake Familiarity with OneLake storage and optimization strategies.
Remote Work :
Yes
Employment Type :
Full-time
Architect and implement end-to-end data solutions using Microsoft Fabric.Define data ingestion transformation and modeling strategy using Lakehouse/Warehouse.Build scalable ETL/ELT pipelines using Data Factory Spark and Dataflows Gen2.Design enterprise semantic models and govern Power BI datasets.Im...
- Architect and implement end-to-end data solutions using Microsoft Fabric.
- Define data ingestion transformation and modeling strategy using Lakehouse/Warehouse.
- Build scalable ETL/ELT pipelines using Data Factory Spark and Dataflows Gen2.
- Design enterprise semantic models and govern Power BI datasets.
- Implement security governance and compliance frameworks.
- Collaborate with business teams to translate requirements into architectures.
- Lead technical teams and establish best practices for Fabric usage.
- Optimize Lakehouse performance storage layer and reporting models.
Qualifications :
- Minimum 8 years of experience in data engineering roles.
- Data Modeling Strong expertise in designing and optimizing data models.
- ETL Concepts Strong understanding of ETL/ELT principles and best practices.
- Microsoft Fabric Hands-on experience with Fabric components and architecture.
Additional Information :
Nice To Have Skills
- EA Governance Strong knowledge of enterprise architecture governance frameworks.
- OneLake Familiarity with OneLake storage and optimization strategies.
Remote Work :
Yes
Employment Type :
Full-time
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