Junior Support Data Engineer

This is a remote position.

• Maintain and optimize cloud infrastructure to ensure reliability and scalability for data systems.
• Extract, transform, and load (ETL) data across various systems to support business operations and decision-making.
• Identify and resolve issues within existing systems to enhance performance, stability, and scalability.
• Troubleshoot and fix bugs in deployed systems, ensuring minimal downtime and disruption.
• Optimize systems and streamline existing processes to improve efficiency and reduce latency.
• Build and optimize system deployment structures to ensure smooth, consistent deployments and system performance.

Requirements

• Live in Latin America.
• Experience with SQL for data manipulation, querying, and analysis.
• Experience with Python skills for automation, scripting, and system integration.
• Deep familiarity with cloud infrastructure and hands-on experience in maintaining and optimizing cloud environments.
• Understanding of algorithms and programming concepts, with the ability to solve complex problems.
• In-depth knowledge of Git and its best practices for version control and collaboration.
• A proactive mindset with the ability to anticipate challenges and propose solutions before problems arise.
• Analytical mindset with a strong focus on problem-solving and system optimizations.
• Exceptional attention to detail in technical and operational tasks, ensuring high-quality results.
• Excellent teamwork and interpersonal skills for collaboration with cross-functional teams.
• Advanced proficiency in English, both written and spoken, for clear communication with global teams and stakeholders.

• Experience with Microsoft Azure or similar cloud platforms for building scalable and resilient systems.
• Knowledge of Kubernetes for container orchestration and managing cloud-native applications.
• Familiarity with Databricks or similar big data tools for data processing and management.
• Power BI knowledge.