Data Engineer

Caramel Point; Argentina; A distancia; ARS 137.157.000 - 198.116.000; A tiempo parcial

Descripción de la vacante

Caramel Point is seeking a Data Engineer for a 100% remote contract role focused on scalable data solutions built on Google Cloud Platform and BigQuery. You will design, build, and optimize data pipelines, ETL/ELT processes, and data warehousing for an international analytics project.

Fluency in English and solid data testing practices are essential. Requirements include extensive Data Engineer experience, strong GCP/BigQuery skills, and advanced SQL.

Formación

• Professional experience as a Data Engineer.
• Strong experience with GCP and BigQuery.
• Advanced SQL skills.
• Experience building ETL/ELT pipelines.
• Solid knowledge of Data Warehousing.
• Knowledge of data quality and testing practices.
• Strong analytical and problem-solving skills.
• Excellent English communication skills.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Analyze source data and implement data transformations.
• Build and maintain Data Warehouse and Data Mart solutions.
• Ensure data quality through validations and unit testing.
• Optimize BigQuery performance, queries, and costs.
• Ensure data pipelines are reliable, scalable, and efficient.
• Collaborate with Data Architecture, Analytics, and business teams.

Conocimientos

Advanced SQL

ETL/ELT pipelines

Data Warehousing

Data quality & testing

Analytical problem-solving

Excellent English communication

Herramientas

GCP

BigQuery

Descripción del empleo

# Data EngineerArgentina · 100% Remote · ContractorWe are looking for a **Data Engineer** to join an international Data Engineering & Analytics project, working on scalable data solutions built on **Google Cloud Platform and BigQuery**.## Tech Stack* •Google Cloud Platform (GCP)* •BigQuery* •SQL* •ETL / ELT* •Data Warehousing## Responsibilities* •Design, build, and maintain scalable **data pipelines and ETL/ELT processes**.* •Analyze source data and implement data transformations.* •Build and maintain **Data Warehouse and Data Mart** solutions.* •Ensure data quality through validations and unit testing.* •Optimize **BigQuery** performance, queries, and costs.* •Ensure data pipelines are reliable, scalable, and efficient.* •Collaborate with Data Architecture, Analytics, and business teams.## Requirements* •Professional experience as a **Data Engineer**.* •Strong experience with **GCP and BigQuery**.* •**Advanced SQL** skills.* •Experience building **ETL/ELT pipelines**.* •Solid knowledge of **Data Warehousing**.* •Knowledge of data quality and testing practices.* •Strong analytical and problem-solving skills.* •**Excellent English communication skills.**## Nice to Have* •Experience with **AI/LLM technologies or APIs**, such as OpenAI, Anthropic, or similar.* •Experience with large-scale data environments and cloud data modernization.## Work Details* •**Location:** Argentina* •**Work mode:** 100% Remote* •**Contract:** Contractor* •**English:** Excellent level required