iugu

Engineer

• Build and evolve ingestion and transformation pipelines on the current stack (Snowflake + dbt + Fivetran), ensuring reliable data for the whole company;
• Participate in migrating the legacy architecture (EMR/PySpark/Redshift) to the modern data stack, focusing on operational simplicity and data quality;
• Design semantic layers (staging, intermediate, marts) that serve both BI and feature needs for AI models;
• Monitor, diagnose and optimize data processing, proactively anticipating issues;
• Collaborate with Product, Risk, Finance and Engineering teams to translate business needs into sustainable data solutions;
• Use generative AI as a productivity tool in day-to-day work (code generation, documentation, debugging) — this is expected.

Senior Data Engineer

DevOps Engineer

• Ensure high availability and performance of systems;
• Monitor system performance in real time to identify issues before they impact users;
• Configure and manage monitoring tools;
• Collaborate with the Development team to continuously build and improve applications;
• Analyze logs and metrics to identify patterns and trends;
• Diagnose root causes of issues and implement solutions;
• Collaborate with other teams to resolve complex problems, documenting incidents to prevent recurrence;
• Implement automation tools and automate repetitive and manual tasks to free up time for more strategic activities;
• Create CI/CD pipelines to automate the software delivery process;
• Share knowledge and best practices with other teams;
• Stay up to date with the latest SRE and DevOps technologies and trends;
• Propose improvements to systems;
• Contribute to the development of more junior team members.

Senior Data Engineer

Senior DevOps