This position is posted by Jobgether on behalf of a partner company.
We are currently looking for a Data Engineer Junior in Latin America.This role offers a fantastic opportunity for an early-career data professional to contribute to building scalable and efficient data pipelines in a cloud environment.
You will work on extracting, transforming, and loading data from multiple sources, maintaining SQL structures in BigQuery, and automating workflows using Airflow.
The position emphasizes collaboration, continuous learning, and hands-on exposure to modern cloud technologies, providing a solid foundation in data engineering practices.
You will also document processes, participate in project tracking, and contribute to the democratization of data across teams.
This is an ideal role for someone motivated, detail-oriented, and eager to grow in a dynamic, remote-first environment.AccountabilitiesDesign, optimize, and maintain ETL processes ensuring consistent, scalable data flowsBuild and manage SQL structures for BigQuery, focusing on performance and query efficiencyExtract and transform data from various sources, including APIs, relational databases, and NoSQL databases like MongoDBCollaborate on migration and optimization of data pipelines within Google Cloud Platform (GCP)Automate tasks and data integration processes using AirflowDocument data architectures, workflows, and processes in ConfluenceParticipate in task management and project tracking through JiraRequirementsMinimum 1 year of experience in a similar role (Data Engineer or Data Analyst with technical focus)Hands-on experience with cloud platforms, ideally GCPStrong proficiency in Python for scripting, automation, and API consumptionSolid SQL skills for creating, optimizing, and maintaining BigQuery structuresBasic familiarity with MongoDB (data queries and essential commands)Experience managing ETL processes and workflow orchestration tools like AirflowProficiency with version control systems such as Git / GitLabAbility to read and create technical documentation in ConfluenceExperience using Jira for task management and project trackingStrong attention to detail, eagerness to learn, and a collaborative mindsetBenefits100% remote work across Latin AmericaCollaborative and learning-focused environment with professional development opportunitiesHands-on experience with modern cloud technologies and advanced data toolsParticipation in challenging projects within the aviation industryIntegration into an innovative, dynamic, and results-driven teamExposure to cutting-edge data engineering practices and workflowsJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.Thank you for your interest!
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Data Engineer • Jundiaí, São Paulo, Brasil