Profile

- Experience of 3 or more years in implementing cloud solutions (regardless of the cloud) with the required technologies, having performed the following activities:
- Analysis and development of data ingestion and transformation flows in Lake House using Cloud services.
- Analysis and Development using distributed processing in Spark using PySpark/Spark in batch (mandatory) and Realtime (desirable).
- Optimization of processes to be developed or existing ones with a cost reduction approach (processing time, cluster usage, and Azure services) in the consumption of cloud services.
- Analysis and scheduling of processes according to criteria defined by users.
- Deployment of solutions in production using continuous integration and deployment tools (DevSecOps).
- Development of transversal solutions for the continuous improvement of the development and deployment framework for solutions.
- Development of best practices,



frameworks, and development standards on Cloud platforms.
- Possess the following Azure certifications (desirable) and/or equivalent certifications in other clouds:
- Databricks: Databricks Certified Associate Developer for Apache Spark (desirable)
- Azure: Azure Data Engineer Associate and Data Engineer Professional (desirable)
- Agile methodology (in projects).
- Experience of 3 or more years working on at least 2 of the following Cloud Projects:
- Analyzing and processing large volumes of data
- Building data pipelines, ETL, ELT
- Deploying scalable solutions in production, preferably in banking entities
- Migration of processes to Cloud platforms
- Optimization of processes using distributed processing

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