Data EngineerRICEFW Technologies Inc • Salt Lake, Utah, USA
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Data Engineer
RICEFW Technologies Inc • Salt Lake, Utah, USA
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job_description.job_card.job_descriptionData 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 : 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. 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. 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.
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 Modeling : Strong skills in creating efficient data models including star schemas to handle a large volume of data and complex relationships.
Key Responsibilities
The contractor should be able to handle the entire project lifecycle from initial design to final deployment. Their responsibilities should include :
Desirable Qualifications
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full Time
Experience : years
Vacancy : 1
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Data Engineer • Salt Lake, Utah, USA
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