Data Engineer with Snowflake and dbt, Analytics Platform

Remote.AR
Remote.Brazil
Remote.Colombia
Rosario
Монтевидео
Монтерей

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Project overview

This project focuses on enhancing data analytics and business intelligence capabilities using modern data engineering tools and cloud-based data platforms. You will contribute to building reliable data pipelines, improving data models, and enabling advanced analytics to support informed business decisions.

Position overview

We are looking for a Data Engineer with hands on experience in modern data stack technologies. You will be responsible for developing scalable data workflows, building and optimizing data models, and working closely with analytics and business teams to deliver actionable insights.

Office attendance is required at least two times per week.

Technology stack

Snowflake, dbt, Looker, Python, SQL, cloud platforms

Responsibilities

Develop, maintain, and optimize data pipelines and ETL and ELT processes using Snowflake and dbt
Design and implement scalable data models to support analytics and reporting needs
Create and maintain dashboards and data explorations in Looker
Write clean and efficient Python scripts for data processing, automation, and integrations
Collaborate with data analysts, data scientists, and business users to gather and refine data requirements
Ensure data quality, consistency, and reliability across platforms
Monitor and troubleshoot data workflows and performance issues
Participate in code reviews, documentation, and knowledge sharing within the team

Requirements

2 to 4 years of professional experience as a Data Engineer or in a similar role
Hands on experience with Snowflake data warehouse
Proficiency in dbt for data transformation and modeling
Experience building dashboards and reports using Looker
Strong programming skills in Python for data processing and automation
Solid knowledge of SQL and relational databases
Familiarity with data pipeline orchestration and workflow management tools
Strong analytical and problem solving skills
Ability to communicate effectively and collaborate within a team

Nice to have

Experience with cloud platforms such as AWS, GCP, or Azure
Knowledge of data governance, security, and compliance practices
Familiarity with containerization and CI CD pipelines for data workflows

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