• Lead the full lifecycle of data migration projects, from initial planning to executing the final “red button” push. • Collaborate closely with clients, CRM providers, and payment system representatives to collect, validate, and prepare all required data files. • Determine optimal migration timelines and coordinate schedules that work for all stakeholders. • Maintain transparent and ongoing communication with all parties to provide updates, address concerns, and ensure smooth execution. • Confidently operate software tools and systems related to data migration (no programming required). • Manage multiple complex projects simultaneously, ensuring deadlines and quality standards are met. • Adhere to strict guidelines and agreements, maintaining a high level of accuracy and consistency. • Participate in regular cross-team discussions on product, sales, support, customer feedback, and performance metrics.

• Lead the full lifecycle of data migration projects, from initial planning to executing the final “red button” push. • Collaborate closely with clients, CRM providers, and payment system representatives to collect, validate, and prepare all required data files. • Determine optimal migration timelines and coordinate schedules that work for all stakeholders. • Maintain transparent and ongoing communication with all parties to provide updates, address concerns, and ensure smooth execution. • Confidently operate software tools and systems related to data migration (no programming required). • Manage multiple complex projects simultaneously, ensuring deadlines and quality standards are met. • Adhere to strict guidelines and agreements, maintaining a high level of accuracy and consistency. • Participate in regular cross-team discussions on product, sales, support, customer feedback, and performance metrics.

• Building and maintaining the core data infrastructure that powers analytics across the company. • Designing pipelines and data models that pull from product systems, observability tooling, and external sources into a reliable, scalable data platform. • Working closely with SRE, product, and engineering teams to ensure data is correctly captured, structured, and aligned across services. • Maintaining observability stacks to support debugging and system reliability. • Defining and enforcing data quality standards. • Supporting KPI development and ensuring all pipelines and data flows meet security, privacy, and compliance requirements.

• Support the development and maintenance of data pipelines (ETL/ELT) under the supervision of more experienced engineers; • Assist in structuring and preparing data in analytical environments (Data Lake and Lakehouse); • Help create and maintain databases, tables, and views, becoming familiar with data modeling patterns (star schema, snowflake); • Contribute to data ingestion, transformation and cleansing routines; • Collaborate with other data team members and business areas to facilitate access to and availability of information; • Follow the security, privacy, and compliance guidelines and best practices (including LGPD) defined by the team; • Support documentation of processes, pipelines and data dictionaries; • Use version control (Git) in daily deliveries; • Actively participate in agile ceremonies (Scrum), contributing to sprint deliverables with commitment and on schedule.