Data Engineer

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