Source description
About the role
Data Integration & Analytics Engineering
Build End-to-End Flows: Use FloQast’s Data Studio and Data Platform to connect, extract, map, transform, validate, and publish customer data.
Transform & Model Data: Cleanse, reshape, and normalize structured and semi-structured data (large CSVs, TSVs, Excel) into clean, reusable, application-ready models.
API & Warehouse Connectivity: Establish robust connections to upstream systems via APIs, sFTP, data sharing, and cloud data warehouses like Snowflake .
Scale Integration Recipes: Partner directly with core Engineering to design, build, and scale standardized, reusable data integration recipes so new sources can be onboarded more efficiently over time.
Post-Sales Solutions & Collaboration
Partner with Customers & Delivery: Work directly with customers, Partners, Implementation, and Customer Success to translate messy real-world financial data into working production flows.
Triage & Troubleshoot: Rapidly debug production data issues, including schema mismatches, mapping gaps, and data variances, ensuring complete data trust.
Feedback Loop to Product: Act as a key internal stakeholder. Use your front-line experience to help Product and Engineering improve UI recipes and roadmap future platform features.
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