Data Engineer – Data Pipelines & Modeling

740

Buenos Aires, Argentina
On-site
Dbt model development and testing
Snowflake architecture and sql tuning
Airflow dag management and orchestration
This role focuses on building robust, maintainable data pipelines using dbt, Snowflake, and Airflow to support analytics

Job Summary

  • This role focuses on building robust, maintainable data pipelines using dbt, Snowflake, and Airflow to support analytics.
  • You will partner with analytics and business stakeholders to define source-to-target transformations and implement them in dbt.
  • The position requires maintaining the orchestration layer to ensure reliability, visibility, and efficient dependency management.

Matching Summary

This role focuses on building robust, maintainable data pipelines using dbt, Snowflake, and Airflow to support analytics.

Skills & Requirements

Must-have

  • dbt model development and testing
  • Snowflake architecture and SQL tuning
  • Airflow DAG management and orchestration
  • Dimensional data modeling practices
  • AWS services integration for pipelines

Nice-to-have

  • Oracle database experience
  • Segment event data familiarity
  • Astronomer platform knowledge
  • AWS DMS Kinesis Firehose usage
  • Lifecycle marketing use cases

Key Requirements

  • Professionals based in Latam region
  • Hands-on experience developing dbt models at scale
  • Strong SQL skills and Snowflake architecture understanding

Work Rights

Must be based in Latam

Tailored Resume

Cover Letter