Microsoft Fabric Analytics Engineer

Microsoft Fabric Analytics Engineer

Job Requirements

• Azure Cosmos DB: This is the foundational skill. The contractor must have knowledge of Cosmos DB, including its different APIs (especially for NoSQL), and a strong understanding of how to query and handle complex, unstructured JSON data.
• Azure Synapse Analytics: This is the central hub for the reporting solution. The contractor needs to be proficient in Azure Synapse, particularly in using Synapse Link for Cosmos DB to enable near-real-time analytics without impacting transactional workloads. This includes:
  • Synapse Serverless SQL Pools: The ability to write T-SQL queries against the Cosmos DB analytical store.
  • Data Integration (Azure Data Factory): Experience with building data pipelines to ingest, transform, and load data from various sources into Synapse.
• Power BI: This is the reporting layer. The person must be an expert in Power BI, including:
  • Data Modeling: Strong skills in creating efficient data models, including star schemas, to handle a large volume of data and complex relationships.
  • DAX (Data Analysis Expressions): Proficiency in writing complex DAX measures, calculated columns, and tables to create meaningful metrics and insights.
  • Power Query (M Language): Experience with data cleansing, shaping, and transformation in the Power Query editor.
  • Report & Dashboard Development: The ability to design and build interactive, visually appealing, and high-performance reports and dashboards.
• SQL: A solid understanding of SQL is critical for querying and manipulating data in Synapse.

Key Responsibilities

The contractor should be able to handle the entire project lifecycle, from initial design to final deployment. Their responsibilities should include:

• Solution Architecture: Designing a scalable and cost-effective reporting solution on Azure that leverages Cosmos DB, Azure Synapse, and Power BI.
• Data Engineering: Setting up and configuring Azure Synapse Link for your Cosmos DB containers and developing data pipelines to prepare data for reporting. This includes creating T-SQL views in Synapse Serverless SQL pools.
• Business Intelligence Development: Developing Power BI reports and dashboards, including data models, DAX measures, and visualizations, to meet complex reporting requirements.
• Performance Tuning: Optimizing queries in Synapse and DAX calculations in Power BI to ensure fast report load times and data refreshes.
• Stakeholder Collaboration: Working with you and other stakeholders to understand business requirements and translate them into technical specifications and reports.

Desirable Qualifications

• Experience with large datasets: Proven experience working with large-scale data and optimizing solutions for performance and cost.
• Communication Skills: The ability to clearly explain complex technical concepts to non-technical business users.
• Spark Pools (nice-to-have): Familiarity with PySpark or other languages for more complex data transformations within Synapse.