Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS): Design and build clean data warehouses and data processing pipelines with an accent on scalability and high availability. Focus on implementing Medallion data architecture, optimizing AWS infrastructure, and orchestrating complex data flows using Airflow or Dagster.

Location: Remote (Argentina)

Company

A global technology partner with approx. 2000 professionals driving digital innovation for leading brands like Audi, BMW, Meta, and Warner Bros. Discovery.

What you will do

• Design and build clean data warehouses and robust data processing systems.
• Lead requirement analysis, planning, design, and testing of data components.
• Independently develop and complete user stories within an agile development process.
• Collaborate with product managers and operations teams to ensure high availability and reliability.
• Address critical engineering concerns such as performance, network utilization, and resource impact.

Requirements

• Experience building data pipelines handling large volumes of data.
• Proficiency in Python, Scala, Ruby on Rails, or similar languages.
• Hands-on experience with AWS, specifically ECS, EKS, and AWS Lambdas.
• Knowledge of Medallion (Bronze/Silver/Gold) data architecture.
• Experience with orchestration tools like Airflow, Dagster, or similar.
• Must be based in Argentina

Nice to have

• Knowledge of Machine Learning.
• Experience with Terraform as Infrastructure as Code (IaC).
• Proficiency with DBT.

Culture & Benefits

• Personalized career path planning with dedicated training, mentoring, and support.
• Unlimited access to Udemy and internal learning courses.
• Access to professional Hubs for knowledge sharing and tracking technology trends.
• A supportive culture focused on connection, mission, and professional growth.
• Remote-friendly environment that rewards curiosity and ownership.