General (English) – Data Integration Engineer Principiante Avanzado

Profile

- 3 or more years of experience implementing solutions in the cloud (any cloud environment).
- Analysis and development of ingestion flows and data transformation in a Lake House using cloud services.
- Analysis and development with distributed processing in Spark using PySpark/Spark batch (mandatory) and real‑time (desirable).
- Optimization of processes with a focus on cost reduction (processing time, cluster usage, Azure services).
- Experience with Agile methodology on projects.

Certifications (Desirable)

- Databricks Certified Associate Developer for Apache Spark
- Azure Data Engineer Associate
- Azure Data Engineer Professional

Experience Requirements

- 3 or more years working on at least two of the following Cloud projects:
- Analyzing and processing large volumes of data.
- Building data pipelines (ETL, ELT).
- Deploying scalable solutions, preferably in banking entities.
- Migrating processes to cloud platforms.
- Optimizing processes using distributed processing.

Location

Lima, Peru

Contract Type

Fixed‑term contract

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📌 Data Integration Engineer Principiante Avanzado (Lima)
🏢 Inetum
📍 Lima