Remote Analytics Engineer (dbt & Redshift) – Flexible Hours

BairesDev; Bogotá; Remote; COP 292.047.000 - 421.845.000; Vollzeit

Benefits dieser Stelle

100% remote work

USD or local currency compensation

Hardware and software setup

Flexible hours

Paid parental leaves and holidays

Multicultural, mentorship-focused team

Growth opportunities and promotions

Zusammenfassung

At BairesDev, an Analytics Engineer (dbt & Redshift) is responsible for turning raw data into trusted datasets and enabling faster decision-making. You will bridge data engineering and analytics, building scalable data models and maintaining data quality.

Join a 100% remote, globally distributed team. You’ll design data pipelines, optimize warehouse performance, test data quality, and collaborate with analysts to address business questions while promoting best practices across the analytics

Qualifikationen

• 4+ years of experience in analytics engineering, data engineering, or a related field.
• Proven expertise building and testing data transformations with dbt.
• Hands-on experience working with Amazon Redshift as a data warehouse.
• Advanced SQL skills and solid knowledge of dimensional data modeling.
• Familiarity with version control and CI/CD applied to data workflows.
• Advanced proficiency in English.

Aufgaben

• Design and build scalable, well-documented data models that support analytics and reporting.
• Transform raw data into clean, reliable datasets using modular, version-controlled workflows.
• Optimize warehouse performance and query efficiency for growing data volumes.
• Implement data quality tests and monitoring to ensure accuracy and consistency.
• Partner with analysts and stakeholders to translate business questions into data solutions.
• Document data assets and promote best practices across the analytics team.

Kenntnisse

Advanced SQL

Dimensional data modeling

English proficiency

Tools

dbt

Amazon Redshift

Version control

CI/CD for data workflows

Jobbeschreibung

At BairesDev, an Analytics Engineer (dbt & Redshift) is responsible for turning raw data into trusted datasets and enabling faster decision-making. You will bridge data engineering and analytics, building scalable data models and maintaining data quality.

Join a 100% remote, globally distributed team. You’ll design data pipelines, optimize warehouse performance, test data quality, and collaborate with analysts to address business questions while promoting best practices across the analytics