Incorta Data Engineer

Position : Incorta Data Engineer Location : Stone,Idaho/Onsite Pay Rate :$60/Hr on C2C Role Description • Strong hands-on experience with Incorta platform (schemas, dashboards, SPARK SQL). • Proficiency in PySpark for data transformation and processing. • Good understanding of data warehousing concepts and ETL processes. • Experience working with large datasets (big data environment). • Knowledge of SQL, Spark SQL, and data modeling techniques. • Experience integrating data from ERP systems (SAP/Oracle). • Strong analytical and problem-solving skills. • 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 • Strong hands-on experience with Incorta platform • Schemas • Dashboards • SPARK SQL • Incorta business views • Insights dashboards Data Engineering • PySpark • Data transformation and processing • Data pipeline development and optimization • Large-scale data processing • Data ingestion and integration Data Warehousing & Modeling • Data warehousing concepts • ETL processes • Data modeling techniques • Schema design Databases & Big Data • Experience working with large datasets (big data environment) • SQL • Spark SQL ERP & Integration • Experience integrating data from ERP systems o SAP o Oracle • Integration with databases, flat files, APIs, and other data sources Performance & Quality • Query performance optimization • Data load optimization • Data validation • Testing • Troubleshooting • Data accuracy assurance • System performance monitoring • Scalability and efficiency improvements Collaboration & Documentation • Collaboration with business stakeholders to understand reporting and analytics requirements • Documentation of data models, pipelines, and reporting solutions Soft Skills • Strong analytical and problem-solving skills