Description: * Proficiency in data manipulation languages such as SQL and Python; * Practical experience with ETL/ELT tools and workflow orchestration (e.g., Apache Airflow, Luigi, DBT); * Experience with relational databases (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., MongoDB, BigQuery, Redshift, Snowflake); * Knowledge of cloud-based data architecture — Azure; * Experience with code versioning (Git) and continuous integration; * Familiarity with data security, anonymization, and compliance practices (e.g., LGPD/GDPR). Desirable: * Knowledge of Snowflake; * Experience with data streaming tools (e.g., Kafka, Pub/Sub); * Knowledge of infrastructure-as-code (Terraform, CloudFormation); * Experience with DataOps environments and CI/CD for data pipelines; * Understanding of dimensional modeling and concepts of Data Vault or Kimball. Working Hours * Monday to Friday, 9 AM to 6 PM — 100% remote. NOTE: Hey! Even if you don’t meet all the job requirements, we still encourage you to apply. We’ll carefully review your profile considering all your qualifications. Your day-to-day responsibilities will include: * Designing and implementing data pipelines (ETL/ELT) using modern tools (e.g., Apache Airflow, DBT, Dataflow); * Integrating data from transactional systems, APIs, relational and non-relational databases; * Creating and maintaining optimized data structures in analytical environments (data lakes and data warehouses); * Ensuring data governance, quality, and cataloging; * Automating data extraction, transformation, and loading routines; * Supporting data scientists, analysts, and product squads with reliable, well-modeled data; * Participating in data modernization and cloud migration projects; * Monitoring and resolving failures in pipelines and critical data processes. 2512180202551925073