MS Fabric

MS Fabric

• 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 One Lake, 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 Py Spark

• 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.

Preferable

• Knowledge of AWS services

• Knowledge of snowflake

• Knowledge of real time analytics in fabric

Salary Range- $100,000-$115,000 a year

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