Junior Data Engineer – Oracle Cloud (OCI) | International Project (Chile)
⚲ Santiago
Do uzgodnienia
Wymagania
- Data Warehouse (DW)
- Python
- Business Intelligence (BI)
- Operations
- Artificial Intelligence (AI)
- Provisioning
- strategy
- Cloud
- Microsoft Platform
- Spark
Opis stanowiska
Project Overview
We are looking for Junior Data Engineers to join an international project for a leading telecommunications company in Chile. The client is currently building its enterprise Lakehouse platform on Oracle Cloud Infrastructure (OCI), centralizing business data and supporting the company’s broader modernization strategy. The roadmap includes migrating additional data sources, executing transformation initiatives, and provisioning data through OCI services such as Dataflow, Data Science, AI Data Platform, and Autonomous Data Warehouse, with future integration into Oracle’s AI platform ecosystem. This is an excellent opportunity for junior professionals looking to strengthen their experience in cloud-based data engineering within a large-scale international environment.
Key Responsibilities
• Develop, implement, and troubleshoot data ingestion and transformation pipelines using Python and Spark within Oracle Cloud Infrastructure (OCI);
• Transform raw telecommunications data into business-ready datasets and support data provisioning for BI and analytics purposes;
• Support production operations by investigating failures, monitoring data quality, and optimizing performance and resource usage;
• Collaborate with teams and stakeholders based in Chile, participating in architecture discussions and continuous improvement initiatives.
Mandatory Requirements
• 1+ year of experience in Data projects, particularly in data ingestion, transformation, or provisioning;
• Strong knowledge of Python;
• Exposure to cloud environments, preferably Oracle Cloud Infrastructure (OCI);
• Availability to work aligned with the Chilean time zone (Portugal schedule: typically 12:00–21:00 or 14:00–23:00 depending on daylight savings);
• Ability to communicate in Spanish (for Portuguese candidates, fluent Spanish is not mandatory, but conversational level and ability to communicate comfortably are required);
• Remote work availability.
Nice-to-Have Skills
• Good understanding of Oracle Cloud Infrastructure (OCI) architecture and services;
• Experience with Spark and distributed data processing environments;
• Previous exposure to BI or analytics-oriented data platforms.
Candidate Profile
• Junior-level professionals with up to 3 years of professional experience;
• Strong willingness to learn and grow within international cloud and data environments;
• Proactive mindset with good problem-solving and collaboration skills.
Preferred Locations
Preference will be given to candidates based in:
• Portugal
• Chile
• Peru
We are looking for Junior Data Engineers to join an international project for a leading telecommunications company in Chile. The client is currently building its enterprise Lakehouse platform on Oracle Cloud Infrastructure (OCI), centralizing business data and supporting the company’s broader modernization strategy. The roadmap includes migrating additional data sources, executing transformation initiatives, and provisioning data through OCI services such as Dataflow, Data Science, AI Data Platform, and Autonomous Data Warehouse, with future integration into Oracle’s AI platform ecosystem. This is an excellent opportunity for junior professionals looking to strengthen their experience in cloud-based data engineering within a large-scale international environment.
Key Responsibilities
• Develop, implement, and troubleshoot data ingestion and transformation pipelines using Python and Spark within Oracle Cloud Infrastructure (OCI);
• Transform raw telecommunications data into business-ready datasets and support data provisioning for BI and analytics purposes;
• Support production operations by investigating failures, monitoring data quality, and optimizing performance and resource usage;
• Collaborate with teams and stakeholders based in Chile, participating in architecture discussions and continuous improvement initiatives.
Mandatory Requirements
• 1+ year of experience in Data projects, particularly in data ingestion, transformation, or provisioning;
• Strong knowledge of Python;
• Exposure to cloud environments, preferably Oracle Cloud Infrastructure (OCI);
• Availability to work aligned with the Chilean time zone (Portugal schedule: typically 12:00–21:00 or 14:00–23:00 depending on daylight savings);
• Ability to communicate in Spanish (for Portuguese candidates, fluent Spanish is not mandatory, but conversational level and ability to communicate comfortably are required);
• Remote work availability.
Nice-to-Have Skills
• Good understanding of Oracle Cloud Infrastructure (OCI) architecture and services;
• Experience with Spark and distributed data processing environments;
• Previous exposure to BI or analytics-oriented data platforms.
Candidate Profile
• Junior-level professionals with up to 3 years of professional experience;
• Strong willingness to learn and grow within international cloud and data environments;
• Proactive mindset with good problem-solving and collaboration skills.
Preferred Locations
Preference will be given to candidates based in:
• Portugal
• Chile
• Peru
🔍 Dekoder Ogłoszenia
🔴
excellent opportunity for junior professionals looking to strengthen their experience in cloud-based data engineering within a large-scale international environment
Będziesz pracować nad dużym projektem, ale jako junior, Twoje zadania mogą być ograniczone do podstawowych czynności pod nadzorem.
🔴
collaborate with teams and stakeholders based in Chile
Może oznaczać konieczność pracy w różnych strefach czasowych i potencjalne bariery językowe lub kulturowe.
🟡
participating in architecture discussions
Jako junior, Twoje uczestnictwo może być bardziej obserwacyjne niż decyzyjne.
🟡
support production operations by investigating failures, monitoring data quality, and optimizing performance and resource usage
Oczekuje się, że będziesz zajmować się bieżącymi problemami i utrzymaniem systemu, a nie tylko nowymi implementacjami.
🟢
1+ year of experience in Data projects, particularly in data ingestion, transformation, or provisioning
Wymagane jest pewne doświadczenie, ale '1+ rok' może oznaczać, że nawet nieco ponad rok jest wystarczający, co jest typowe dla stanowisk juniorskich.