{"schemaVersion":"jobsearcher.job.v1","id":"dd4f54bd8d032b8861a4d3f3","url":"https://jobsearcher.com/jobs/dd4f54bd8d032b8861a4d3f3","canonicalUrl":"https://jobsearcher.com/jobs/dd4f54bd8d032b8861a4d3f3","title":"Data Engineering Consultant","description":"Job Description\nNutaNXT is looking for supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies. As a Data Engineering Consultant, you will collect, aggregate, store, and reconcile data in support of Customer’s business decisions. You will design and build data pipelines, data streams, data service APIs, data generators and other end-user information portals and insight tools.\nResponsibilities\nDemonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines with Python or Scala\nHands-on experience with at least one of the leading public cloud data platforms (Ideally Azure)\nExperience with different Databases (like column-oriented database, NoSQL database, RDBMS)\nExperience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Databricks, Azure Data Factory, Spark, Spark Streaming, etc.\nUnderstanding of data modeling, warehouse design and fact/dimension concepts\nGood Communication\nQualifications\nExperience working with Azure Databricks.\nFamiliarity with PySpark\nVery good in communication, both verbal and written\nMastery of SQL (T-SQL or PL SQL preferred)\nKnowledge of at least one component: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL\nMinimum experience of 8+ Years in the ETL & Data Engineering space.\nMicrosoft Certified: Azure Data Engineer\nKnowledge of the following components of Azure Analytics: Azure HDInsight with Spark, Azure\nStream Analytics, Azure IoT Hub, or Azure Event Hub, Azure CosmosDB\nExperience preparing data for Data Science and Machine Learning\nKnowledge of Jupyter Notebooks or Databricks Notebooks for Python development\n\nEurope and APAC regions\nSEND US YOUR RESUME AT CAREERS@NUTANXT.COM","company":"Nutanxt Technologies","rawCompany":"nutanxt technologies","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-09T13:35:54.780Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Consultant","description":"Job Description\nNutaNXT is looking for supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies. As a Data Engineering Consultant, you will collect, aggregate, store, and reconcile data in support of Customer’s business decisions. You will design and build data pipelines, data streams, data service APIs, data generators and other end-user information portals and insight tools.\nResponsibilities\nDemonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines with Python or Scala\nHands-on experience with at least one of the leading public cloud data platforms (Ideally Azure)\nExperience with different Databases (like column-oriented database, NoSQL database, RDBMS)\nExperience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Databricks, Azure Data Factory, Spark, Spark Streaming, etc.\nUnderstanding of data modeling, warehouse design and fact/dimension concepts\nGood Communication\nQualifications\nExperience working with Azure Databricks.\nFamiliarity with PySpark\nVery good in communication, both verbal and written\nMastery of SQL (T-SQL or PL SQL preferred)\nKnowledge of at least one component: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL\nMinimum experience of 8+ Years in the ETL & Data Engineering space.\nMicrosoft Certified: Azure Data Engineer\nKnowledge of the following components of Azure Analytics: Azure HDInsight with Spark, Azure\nStream Analytics, Azure IoT Hub, or Azure Event Hub, Azure CosmosDB\nExperience preparing data for Data Science and Machine Learning\nKnowledge of Jupyter Notebooks or Databricks Notebooks for Python development\n\nEurope and APAC regions\nSEND US YOUR RESUME AT CAREERS@NUTANXT.COM","datePosted":"2026-08-09T13:35:54.780Z","dateModified":"2026-08-09T13:35:54.780Z","hiringOrganization":{"@type":"Organization","name":"Nutanxt Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dd4f54bd8d032b8861a4d3f3"},"url":"https://jobsearcher.com/jobs/dd4f54bd8d032b8861a4d3f3"}}