Senior Data Engineer - Advertising (Latam) - Remote

Overview

We’re looking for a passionate and experienced Data Engineer to join our team and help us build scalable and efficient ETL pipelines in the Google Cloud Platform (GCP) ecosystem.

In Short

• Design, build, and maintain scalable ETL pipelines using PySpark and other GCP-native tools.
• Extensive experience utilizing the DataBricks platform.
• Work with GCP infrastructure and services (e.g., BigQuery, Dataflow, Cloud Composer, Cloud Functions, Pub/Sub).
• Develop and optimize data ingestion, transformation, and loading processes.
• Collaborate with data scientists, product managers, and other engineers to understand data needs and deliver high-quality solutions.
• Ensure data quality, reliability, and performance across pipelines.
• Monitor, troubleshoot, and enhance data workflows and systems.
• Apply best practices for orchestration, version control, and CI/CD in data workflows.
• Participate in design discussions, peer reviews, and code quality checks.

Requirements

• 5-7 years of experience in data engineering, preferably in a cloud-native environment.
• Strong programming skills: Python & PySpark.
• Advanced SQL & experience working with large datasets.
• Proficiency with Databricks.
• Hands-on experience with GCP services, specifically: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub.
• Experience orchestrating data pipelines & workflow automation.
• Proven track record of improving pipeline performance & maintaining data integrity.
• Experience with performance tuning of data workflows.
• Good communication, analytical thinking, and problem-solving abilities.
• Ability to work independently and collaboratively in a cross-functional team.
• Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or equivalent experience.

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD.
• Paid Time Off: We value your well-being.
• Work with Autonomy: Enjoy the freedom to manage your time.
• Work with Top American Companies: Grow your expertise working on innovative projects.