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Data Engineer

Data Engineer

RICEFW Technologies IncSalt Lake City, UT, United States
3 days ago
Job type
  • Full-time
  • Quick Apply
Job description

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.
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    Engineer Engineer • Salt Lake City, UT, United States

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