Sr. Data Engineer (Finance Domain)

New

JobgetherFinancial data analytics

Based in BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Have strong hands-on experience with Snowflake, SQL, and dbt.
Have experience with dimensional modeling and developing curated analytical data layers.
Have experience building data models for Finance, Accounting, Procurement, or FP&A use cases.
Understand financial data structures and concepts including general ledger, AP/AR, budgeting, forecasting, procurement, and expense management.
Be familiar with financial application data such as NetSuite, Coupa, Brex, Workday Adaptive Planning, or equivalent systems; direct experience with the named tools is not mandatory.
Be familiar with Snowflake Semantic Views and Cortex Agents.
Communicate effectively with technical teams and nontechnical Finance stakeholders.
Be able to independently design reliable, scalable financial data models.

Design, develop, and maintain curated Finance and Procurement data models using Snowflake and dbt.
Work with financial data from enterprise applications such as NetSuite, Coupa, Brex, Workday Adaptive Planning, or equivalent platforms.
Model financial business objects including general ledger accounts, journal entries, invoices, purchase orders, vendors, expenses, budgets, and cost centers.
Collaborate with Finance, Procurement, and technical stakeholders to translate requirements into analytics-ready data models.
Build and optimize data transformation pipelines for accuracy, consistency, quality, and performance.
Use Snowflake Semantic Views and Cortex Agents to support data exploration, self-service analytics, and AI-powered insights.
Establish and promote data modeling, documentation, testing, and governance practices across Finance datasets.

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