Data Engineer - Remote

Overview

The Data Engineer will be responsible for designing, building, optimizing, and maintaining data infrastructure to ensure efficient information flow from various internal and external sources.

In Short

• Design and implement data infrastructure solutions.
• Manage large volumes of data and Big Data technologies.
• Build data pipelines.
• Optimize existing data infrastructure.
• Manage real-time data.
• Provide access to quality data for predictive analysis and AI initiatives.
• Implement security and quality mechanisms for data.
• Focus on data analysis and generating insights.
• Connect technical work with business objectives.

Requirements

• Experience in SQL (optimization and advanced queries).
• Experience in cloud environments.
• Experience in Python.
• Experience in Object-Oriented Programming (OOP).
• Experience in data modeling, integration, and processing.
• Experience in BigQuery.
• Experience in ETL processes.
• Experience in Apache Airflow.
• Experience in Dataflow.
• Experience in Git.
• Knowledge of Terraform and Jenkins.
• Knowledge of CI/CD practices.

Benefits

• Great benefits and fun activities.
• 3 additional days off a year beyond vacation.
• Unpaid leave for personal dreams.
• Wellness program for work-life balance.
• 100% free complementary insurance for creators.
• Training programs, English classes, and more.
• Birthday off and half-day for children’s birthdays.
• Bonuses for national holidays, Christmas, weddings, and births/adoptions.
• Preferential agreements with banks.
• 3 additional days for parental leave.
• Pet insurance agreements.
• A horizontal, innovative, and friendly culture.