Crossjoin Solutions
IT
JuniorDataEngineer
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“Junior Data Engineer at Crossjoin Solutions. Skills: Python, Spark, Oracle Cloud Infrastructure (OCI). Develop, deploy, and troubleshoot data ingestion and transformation pipelines using Python and Spark on Oracle Cloud Infrastructure (OCI). Transform raw telco data into curated, business-ready datasets”
Industry & Context.
investigating failures; optimizing performance and resource usage
Availability to work in Chile timezone (Portugal time 12pm - 9pm to 2pm - 11pm depending on the time of year)
What They're Looking For.
Must Have
Minimum 1 year of experience in data projects (ingestion, transformation, and provisioning of data), Proficient in Python, Knowledge of cloud environments, Availability to work in Chile timezone
Nice to Have
In-depth knowledge of OCI services architecture
What You'll Do.
and troubleshoot data ingestion and transformation pipelines using Python and Spark on Oracle Cloud Infrastructure (OCI)
Transform raw telco data into curated
business-ready datasets
Manage data provisioning for BI and analytics use
Support production operations by investigating failures
monitoring data quality
and optimizing performance and resource usage
How You'll Work.
Team & Collaboration
Collaborate with Chile-based teams and stakeholders; participating in architecture discussions and continuous process improvements
Full Job Description
Crossjoin Solutions, founded in 2009, is a Portuguese IT company serving over 30 clients across Europe, Latin America, and North America. Through our services, we support tens of millions of consumers in numerous countries worldwide.. We provide consulting services across a broad range of sectors reliant on information systems, including banking, insurance, healthcare, automotive, finance, and telecommunications. Our expertise covers end-to-end performance optimization, enterprise testing, major incident troubleshooting and resolution, full-stack architecture advisory, continuous integration, deployment acceleration, and infrastructure managed services. What's the project: The client, a telco company in Chile, is building its Lakehouse on Oracle Cloud. This platform centralizes all business data and drives the company's modernization efforts. The roadmap includes migrating additional sources, executing data transformation and provisioning projects through OCI’s infrastructure and data services (Dataflow, Datascience, AI Data Platform, Autonomous Datawarehouse), and moving towards integrating Oracle’s AI platform (AIDP) in the future. The project is focused on data, business, and future AI integration. Responsabilities: - Develop, deploy, and troubleshoot data ingestion and transformation pipelines using Python and Spark on Oracle Cloud Infrastructure (OCI). - Transform raw telco data into curated, business-ready datasets and manage data provisioning for BI and analytics use. - Support production operations by investigating failures, monitoring data quality, and optimizing performance and resource usage. - Collaborate with Chile-based teams and stakeholders, participating in architecture discussions and continuous process improvements. Requirements: - Minimum 1 year of experience in data projects (ingestion, transformation, and provisioning of data) - Proficient in Python - Knowledge of cloud environments (preference for Oracle Cloud Infrastructure - OCI) - Availab
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