What were looking for Data Engineer (Only for people located in Latin America) Responsabilities: Architect & maintain, cloud-based, Data Warehouses and Data Lakes Build and orchestrate, reliable, scalable, ETL/ELT pipelines Optimize batch and streaming workloads, ensuring data quality and security. Partner with analysts and data scientists to deliver BI, ML, and visualization-ready datasets. Experience and knowledge Only for people located in Latin America 46 years as a Data Engineer, owning production-grade DW and Lake environments at enterprise scale. Cloud Data Warehouses Hands-on experience with at least one major cloud analytical platform: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse including dimensional modeling and performance tuning. Data Lakes & Formats Design and operation of object-store-based lakes (S3, ADLS, GCS) using columnar formats (Parquet, ORC) and ACID table layers (Delta Lake, Apache Iceberg, Apache Hudi). Orchestration & Automation Workflow design with Apache Airflow, Dagster, AWS Glue, Azure Data Factory or Cloud Composer; CI/CD with Git, Docker, Terraform (or equivalents). Data Quality & Observability Implement automated data tests and lineage/monitoring with dbt tests, Great Expectations, OpenLineage, Prometheus/Datadog, plus encryption & IAM best practices. Programming & SQL Advanced SQL and Python proficiency; basic knowledge of Scala/Java or shell scripting is a bonus. Cloud & DevOps Practical experience with at least one major cloud provider (AWS, Azure, GCP) and infrastructure-as-code concepts. Relevant certification desirable. English level B2+ (Please apply ONLY if you meet this requirement). Compensation & Benefits Participation in innovative, high-impact regional projects. People-centric culture with autonomy and continuous learning. Work 100% Remote Work from anywhere We pay in US dollars. You can enjoy all the holidays in your country. 10 days of PTO payments