Azure Data Engineer

Remote • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Microsoft Azure
  • Data Quality
  • Data Security
  • Data Storage
  • Database
  • Databricks
  • Command-line Interface
  • Data Governance
  • Data Lake
  • Data Modeling
  • DevOps
  • Distributed Computing
  • GitHub
  • Machine Learning (ML)
  • Microsoft
  • Microsoft SSAS
  • NoSQL
  • Parallel Computing
  • SEO
  • ARM
  • Analytics
  • Apache Spark
  • Big Data
  • Caching
  • Collaboration
  • SQL
  • SQL Azure
  • Semantics
  • Storage
  • Streaming
  • Transact-SQL
  • Windows PowerShell

Summary

Azure Data Engineer

Remote-PST

Contract

 

Skills

  • Experience in using SEO data is a must-have.
  • Proficiency in SQL and other query languages, such as T-SQL, KQL, Spark SQL
  • Expertise with Azure data services, such as Microsoft Fabric, Azure Analysis Services, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Purview.
  • Ability to Design, configure and maintain Semantic Model settings in the Fabric workspace
  • Expertise in maintaining Lakehouse in Microsoft Fabric with clear understanding of access management
  • Clear understanding of data pipelines in Fabric and data caching in semantic model
  • Ability to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices.
  • Knowledge of data modeling techniques and patterns for relational and NoSQL databases.
  • Understanding of big data concepts and architectures, such as distributed computing, parallel processing, streaming analytics, and machine learning.
  • Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure Resource Manager, Azure CLI, PowerShell, and ARM templates.
  • Ability to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10398358
  • Position Id: 9091371
  • Posted 5 hours ago
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