Data Engineer Junior (Latam) at Jobgether

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, SQL, BigQuery, Python, APIs, NoSQL, MongoDB, Google Cloud Platform, Airflow, Automation, Git, Confluence, Jira, Collaboration, Documentation

Industry

Internet Marketplace Platforms

Description

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. Accountabilities Design, optimize, and maintain ETL processes ensuring consistent, scalable data flows. Build and manage SQL structures for BigQuery, focusing on performance and query efficiency. Extract and transform data from various sources, including APIs, relational databases, and NoSQL databases like MongoDB. Collaborate on migration and optimization of data pipelines within Google Cloud Platform (GCP). Automate tasks and data integration processes using Airflow. Document data architectures, workflows, and processes in Confluence. Participate in task management and project tracking through Jira. Minimum 1 year of experience in a similar role (Data Engineer or Data Analyst with technical focus). Hands-on experience with cloud platforms, ideally GCP. Strong proficiency in Python for scripting, automation, and API consumption. Solid SQL skills for creating, optimizing, and maintaining BigQuery structures. Basic familiarity with MongoDB (data queries and essential commands). Experience managing ETL processes and workflow orchestration tools like Airflow. Proficiency with version control systems such as Git/GitLab. Ability to read and create technical documentation in Confluence. Experience using Jira for task management and project tracking. Strong attention to detail, eagerness to learn, and a collaborative mindset. 100% remote work across Latin America. Collaborative and learning-focused environment with professional development opportunities. Hands-on experience with modern cloud technologies and advanced data tools. Participation in challenging projects within the aviation industry. Integration into an innovative, dynamic, and results-driven team. Exposure to cutting-edge data engineering practices and workflows. Jobgether 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. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Data Engineer Junior will design, optimize, and maintain ETL processes while building and managing SQL structures for BigQuery. This role involves extracting and transforming data from various sources and automating workflows using Airflow.