{"schemaVersion":"jobsearcher.job.v1","id":"83fca2b6faadfbc18804890d","url":"https://jobsearcher.com/jobs/83fca2b6faadfbc18804890d","canonicalUrl":"https://jobsearcher.com/jobs/83fca2b6faadfbc18804890d","title":"Incorta Data Engineer","description":"Role Overview:This role requires strong hands-on experience with the Incorta platform, including schemas, dashboards, and SPARK SQL. The position focuses on data transformation and processing using PySpark within a big data environment, emphasizing data warehousing concepts and ETL processes.Key Responsibilities:Design and develop data models, schemas, and dashboards using Incorta.Build and optimize data pipelines using PySpark for large-scale data processing.Ingest, transform, and integrate data from multiple sources (ERP, databases, flat files, APIs).Collaborate with business stakeholders to understand reporting and analytics requirements.Develop and maintain Incorta schemas, business views, and insights dashboards.Optimize query performance and data load processes within Incorta.Perform data validation, testing, and troubleshooting to ensure data accuracy.Integrate Incorta with enterprise systems such as SAP, Oracle, or other data sources.Monitor system performance and implement improvements for scalability and efficiency.Maintain documentation for data models, pipelines, and reporting solutions.Required Skills:Incorta platform (schemas, dashboards, SPARK SQL, business views, insights dashboards)PySpark (data transformation, data processing, data pipeline development, large-scale data processing, data ingestion, data integration)Data warehousing conceptsETL processesData modeling techniques (data model development, schema design)SQLSpark SQLExperience working with large datasets (big data environment)SAP integrationOracle integrationIntegration of data from ERP systemsDatabasesFlat filesAPIsQuery performance optimizationData load optimizationData validationTestingTroubleshootingData accuracySystem performance monitoringScalability and efficiency improvementsCollaboration with business stakeholdersDocumentation of data models, pipelines, and reporting solutionsStrong analytical skillsStrong problem-solving skillsQualifications:6-8 years of experiencePreferred Skills:Digital : SAP Cloud ArchitectureDigital : PySparkMySQL","company":"Prophecy Technologies","rawCompany":"prophecy technologies","city":"Pasco","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-11T13:18:12.716Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Incorta Data Engineer","description":"Role Overview:This role requires strong hands-on experience with the Incorta platform, including schemas, dashboards, and SPARK SQL. The position focuses on data transformation and processing using PySpark within a big data environment, emphasizing data warehousing concepts and ETL processes.Key Responsibilities:Design and develop data models, schemas, and dashboards using Incorta.Build and optimize data pipelines using PySpark for large-scale data processing.Ingest, transform, and integrate data from multiple sources (ERP, databases, flat files, APIs).Collaborate with business stakeholders to understand reporting and analytics requirements.Develop and maintain Incorta schemas, business views, and insights dashboards.Optimize query performance and data load processes within Incorta.Perform data validation, testing, and troubleshooting to ensure data accuracy.Integrate Incorta with enterprise systems such as SAP, Oracle, or other data sources.Monitor system performance and implement improvements for scalability and efficiency.Maintain documentation for data models, pipelines, and reporting solutions.Required Skills:Incorta platform (schemas, dashboards, SPARK SQL, business views, insights dashboards)PySpark (data transformation, data processing, data pipeline development, large-scale data processing, data ingestion, data integration)Data warehousing conceptsETL processesData modeling techniques (data model development, schema design)SQLSpark SQLExperience working with large datasets (big data environment)SAP integrationOracle integrationIntegration of data from ERP systemsDatabasesFlat filesAPIsQuery performance optimizationData load optimizationData validationTestingTroubleshootingData accuracySystem performance monitoringScalability and efficiency improvementsCollaboration with business stakeholdersDocumentation of data models, pipelines, and reporting solutionsStrong analytical skillsStrong problem-solving skillsQualifications:6-8 years of experiencePreferred Skills:Digital : SAP Cloud ArchitectureDigital : PySparkMySQL","datePosted":"2026-09-11T13:18:12.716Z","dateModified":"2026-09-11T13:18:12.716Z","hiringOrganization":{"@type":"Organization","name":"Prophecy Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pasco","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"83fca2b6faadfbc18804890d"},"url":"https://jobsearcher.com/jobs/83fca2b6faadfbc18804890d"}}