MS Fabric
Minneapolis, Minnesota, United States of America
Contract
4 weeks ago
Key skills
PythonSQLETLData EngineeringData WarehousingAnalyticsBIPower BISparkAzureGitRepositoryChange Management
About this role
Role - MS Fabric
Location - Minneapolis, MN
Job Type- Full Time
Required Skills
- 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 organization's 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.