Microsoft Fabric Engineer

Responsibilities

• 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 across multiple locations.
• Knowledge of AWS services
• Knowledge of snowflake
• Knowledge of real time analytics in fabric