Solution Engineer
Incorta
Solution Engineer
Incorta
Smart lakehouse data platform for analytics
Implement the Incorta platform against complex project requirements
Learn the features and best practices around the Incorta platform
Teach customers and colleagues how to employ the Incorta platform against a variety of use cases
Help define level of effort and scope for Incorta implementation work
Write technical design documents to capture the technical details of the customer implementation work delivered
Work and communicate effectively in a cross-team environment involving the customer, partners, and other Incorta employees
Report to Solution Engineer Lead
3+ years of work experience implementing analytics or BI software products
Experience with at least one common data platform (Oracle, MySQL, SQL Server, Redshift, S3, etc.)
Familiarity with SQL language and Linux server administration
Experience with data modeling
Familiarity with cloud-based applications and architectures running in Google Cloud, Azure, or AWS
Willingness to embrace and thrive in a rapidly changing work environment
Experience with Oracle EBS, Oracle Fusion, SAP, Salesforce, or Netsuite
Familiarity with advanced analytics languages & platforms such as python, scala, R, SAS, and Spark.
Incorta provides a smart lakehouse data management platform that unifies data lakes and data warehouses to speed AI and analytics. It connects with complex sources like Oracle and NetSuite ERP and ingests transaction-level data so businesses can modernize their legacy BI stacks and access ready-to-use data quickly. The product works by integrating data directly into data management systems such as ADLS for Power BI, Synapse, Databricks, Snowflake, or GCS for BigQuery and Databricks, minimizing data aggregation and reshaping and delivering business-ready data for immediate use. This approach differentiates Incorta from competitors by focusing on direct, fast ingestion of transaction-level details from ERP systems and enabling rapid BI/reporting with reduced staffing and buildout time. The company’s goal is to help organizations gain faster, cost-effective insights and accelerate decision-making through streamlined data management and analytics.
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