Data Engineer

This is a fully remote position, open to applicants in Chile.

📋 Description

• Design, build, and ensure the scalability of the data infrastructure on Google Cloud Platform (GCP).

• Lead the technical architecture of data pipelines.

• Optimize platform performance.

• Ensure data processing meets high standards of quality, security, and observability.

• Define reference architectures in GCP utilizing Infrastructure as Code (Terraform).

• Manage and orchestrate services such as Dataform, Cloud Run, Workflows, Dataflow, and Composer (Airflow).

• Build and enhance ingestion and transformation processes (ETL/ELT) using Python and FastAPI.

• Lead data modeling in BigQuery and persistence in NoSQL databases (Firestore).

• Execute performance optimizations and large-scale migrations.

• Configure network security (VPC/VPN) and manage access strategies (IAM) under the principle of least privilege.

• Implement data contracts and monitoring systems.

• Automate CI/CD pipelines in GitLab to ensure agile and stable deployments.

⛳️ Requirements

• Bachelor's degree in Computer Engineering, Computer Science, Systems, or a related field.

• Preferred: Google Cloud Professional Data Engineer or Cloud Architect certification.

• Preferred: Specialization in Big Data, Software Architecture, or Data Science.

• 3-5 years of experience working as a Data Engineer.

• Proven experience designing and deploying complex architectures in Google Cloud Platform (GCP).

• Solid experience implementing projects using Infrastructure as Code (Terraform) and CI/CD automation.

• Expert proficiency in Python (data-focused/FastAPI), Advanced SQL (query optimization), BigQuery, and data modeling (Star/Snowflake).

• Familiarity with GCP ecosystem: Dataform, BigQuery, Cloud Run, Workflows, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, and Firestore.

• Infrastructure tools: Docker and Terraform.

• Security and Networking: Configuration of VPCs, VPNs, and IAM (Identity and Access Management) management.

• Governance: Implementation of Data Contracts and monitoring of data observability.

• Plus: Knowledge of Next.js and Fullstack development (Frontend/Backend).

🏝️ Benefits

• Annual budget for self-managed training.

• Remote work.

• Day off for your birthday.

• Half-day off for the birthdays of children/parents.

• Short Fridays (every Friday ends at 14:00).

• Work from anywhere (Just remember to have a good internet connection!).