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Role Overview
Seeking Senior Data Engineer(s) with a strong Analytics Engineering background for a dedicated finance data structuring and automation project.

The primary objective is to audit existing business logic, currently scattered across legacy SQL, Excel workflows, and BI reports (Metabase, Tableau), and reverse‑engineer it into a centralized, scalable layered data architecture.

This role will be responsible for building well‑structured data models in Snowflake using dbt, and ultimately developing the automated pipelines, custom scripts, or reverse ETL flows necessary to export this finalized data directly into Net

Suite or other enterprise ERP/accounting systems.

Required Skills
- Senior‑Level Expertise: 5+ years of experience in Data Engineering or Analytics Engineering, with a proven track record of owning end‑to‑end data modeling and integration projects.
- Cloud data warehouse: Experience with modern cloud data warehouses or lakehouse platforms (Snowflake preferable, Databricks, Big

Query or Redshift acceptable).
- Excellent SQL:



Advanced to expert‑level SQL capabilities; highly proficient in complex pipeline analysis, query optimization, and cost‑efficient query design.
- Legacy & BI Reverse‑Engineering: Proven experience reverse‑engineering undocumented logic from existing BI tools, complex Excel sheets, and legacy SQL into modernized pipelines.
- Layered Architecture: Strong understanding and practical experience building Medallion (Bronze/Silver/Gold) data environments.

Preferred Skills
- Snowflake & dbt Mastery: Deep, hands‑on experience building models in Snowflake and managing transformations/testing via dbt (Core or Cloud).
- Semantic Layers: Experience building dbt or Snowflake semantic views.
- Finance Domain Knowledge: Familiarity with accounting principles, ERP data structures, and how finance teams consume data.
- ERP Integration Experience: Hands‑on experience structuring data and managing automated payloads/exports into enterprise accounti

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qd7pp

📌 Data Engineer3 (Buenos Aires) (Argentina)
🏢 Globallogic
📍 Argentina