BI Engineer: Data Pipelines & Dashboards

Curogram, Inc.; Argentina; Sur place; ARS 25 376 000 - 50 752 000; Plein temps

Résumé du poste

Curogram, Inc. is seeking a hands-on Business Intelligence Engineer in Argentina to design, build, and maintain data infrastructure and reporting systems that power business decisions.

You will own the full lifecycle of ETL pipelines, data models, and dashboards, collaborating with marketing and sales to translate questions into scalable solutions using Airflow, dbt, Python, BigQuery, and ClickHouse. You will develop robust SQL queries, maintain data quality, and deliver insights through Looker

Qualifications

• Hands-on BI engineering for ETL/ELT pipelines and reporting systems.

Responsabilités

• Design, build, and maintain robust ETL/ELT pipelines using Apache Airflow to orchestrate data ingestion, transformation, and loading across multiple sources, ensuring reliability, scalability, and timely data delivery.
• Develop and enforce data quality checks within pipelines, monitoring for failures, anomalies, and discrepancies to ensure trustworthy data reaching downstream systems.
• Troubleshoot and resolve pipeline issues, implementing alerting and retry logic to minimize data downtime.
• Develop and maintain dbt data models for BigQuery and ClickHouse, enforcing consistent business logic, documentation, and testing across the data warehouse.
• Write and optimize complex SQL queries across BigQuery and ClickHouse for data extraction, transformation, and ad‑hoc analysis, ensuring query performance and data accuracy.

Connaissances

SQL

Python

dbt

BigQuery

ClickHouse

Apache Airflow

Looker Studio

Metabase

HubSpot Reporting

Outils

dbt

Looker Studio

Metabase

HubSpot Reporting

Description du poste

Curogram, Inc. is seeking a hands-on Business Intelligence Engineer in Argentina to design, build, and maintain data infrastructure and reporting systems that power business decisions.

You will own the full lifecycle of ETL pipelines, data models, and dashboards, collaborating with marketing and sales to translate questions into scalable solutions using Airflow, dbt, Python, BigQuery, and ClickHouse. You will develop robust SQL queries, maintain data quality, and deliver insights through Looker