MS Fabric Consultant

Vaaridatech

Job Location:

Minneapolis, MN - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Responsible for understanding the requirements and perform data analysis.

Responsible for setup of Microsoft fabric and its components
Building secure scalable solutions across the Microsoft Fabric platform.
Create and manage Lakehouse.
Implement Data Factory processes for data ingestion scalable ETL and data integration.
Design implement and manage comprehensive warehousing solutions for analytics using fabric
Creating and scheduling data pipelines using Azure data factory
Building robust data solutions using Microsoft data engineering tools like Notebook Lakehouse and spark application.
Build and automate deployment pipelines using CICD tools for the release of fabric content from lower to higher environments.
Set and use Git as a repository and versioning of fabric components
Create and manage Power BI reports and semantic models
Write and optimize complex SQL queries to extract and analyze data ensuring data processing and accurate reporting.
Work closely with customers business analysts and technology & project team to understand business requirements drive the analysis and design of quality technical solutions that are aligned with business and technology strategies and comply with the organizations architectural standards.
Understand and follow-up through change management procedures to implement project deliverables.
Coordinating with support groups to get the issues resolved in a quick turnaround time.
3 years of experience working in Microsoft Fabric.
Expertise in working with OneLake Lakehouse Warehouse and Notebook
Strong understanding of Power BI reports and semantic model using Fabric
Proven record of building ETL and data solutions using Azure data factory.
Strong understanding of data warehousing concepts and ETL processes.
Hand on experience of building data warehouses in fabric.
Strong skills in Python and PySpark
Practical experience of implementing spark in fabric scheduling spark jobs writing spark SQL queries.
Experience of utilizing Data Activator for effective data asset management and analytics.
Ability to flex and adapt to different tools and technologies.
Strong learning attitude.
Good written and verbal communication skills.
Demonstrated experience of working in a team spread ac ross multiple locations.

Responsible for understanding the requirements and perform data analysis. Responsible for setup of Microsoft fabric and its components Building secure scalable solutions across the Microsoft Fabric platform. Create and manage Lakehouse. Implement Data Factory processes for data ingestion scalable E...

Responsible for understanding the requirements and perform data analysis.

Responsible for setup of Microsoft fabric and its components
Building secure scalable solutions across the Microsoft Fabric platform.
Create and manage Lakehouse.
Implement Data Factory processes for data ingestion scalable ETL and data integration.
Design implement and manage comprehensive warehousing solutions for analytics using fabric
Creating and scheduling data pipelines using Azure data factory
Building robust data solutions using Microsoft data engineering tools like Notebook Lakehouse and spark application.
Build and automate deployment pipelines using CICD tools for the release of fabric content from lower to higher environments.
Set and use Git as a repository and versioning of fabric components
Create and manage Power BI reports and semantic models
Write and optimize complex SQL queries to extract and analyze data ensuring data processing and accurate reporting.
Work closely with customers business analysts and technology & project team to understand business requirements drive the analysis and design of quality technical solutions that are aligned with business and technology strategies and comply with the organizations architectural standards.
Understand and follow-up through change management procedures to implement project deliverables.
Coordinating with support groups to get the issues resolved in a quick turnaround time.
3 years of experience working in Microsoft Fabric.
Expertise in working with OneLake Lakehouse Warehouse and Notebook
Strong understanding of Power BI reports and semantic model using Fabric
Proven record of building ETL and data solutions using Azure data factory.
Strong understanding of data warehousing concepts and ETL processes.
Hand on experience of building data warehouses in fabric.
Strong skills in Python and PySpark
Practical experience of implementing spark in fabric scheduling spark jobs writing spark SQL queries.
Experience of utilizing Data Activator for effective data asset management and analytics.
Ability to flex and adapt to different tools and technologies.
Strong learning attitude.
Good written and verbal communication skills.
Demonstrated experience of working in a team spread ac ross multiple locations.