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

• Design and develop a clean data warehouse and ensure effective data processing.

• Engage in the complete development lifecycle, from crafting individual components to successfully delivering user stories independently.

• Take the lead and actively participate in requirement analysis, planning, design, development, and testing phases.

• Decompose intricate problems into manageable tasks and contribute to well-structured solutions.

• Collaborate with colleagues and senior team members both within your team and across the organization.

• Work alongside product managers utilizing agile methodologies to deliver high-quality solutions punctually.

• Collaborate with operations teams to guarantee that applications and services maintain high availability and reliability.

• Recognize and address engineering-related issues such as performance, network usage, and resource impact.

• A candidate with experience in handling data pipelines that manage large data volumes.

• Proficient in one or more of the following programming languages: Python, Ruby on Rails, Scala, or similar.

• Familiarity with AWS, specifically with ECS, EKS, and AWS Lambdas.

• Knowledge of Medallion (Bronze / Silver / Gold) data architecture, as well as tools like Airflow, Dagster, or similar.

• Preferred: Experience in Machine Learning.

• Experience with Terraform as Infrastructure as Code (IaC).

• Proficient with Airflow and DBT.

• Career Path Planning – Create a career trajectory tailored to your aspirations.

• We offer training, mentoring, and support to assist you throughout your journey.

• Training & Mentorship – Continuous learning and development are integral to our company culture.

• Enjoy unlimited access to Udemy, internal courses, training opportunities, and a comprehensive mentorship program.

• Culture & Connection – We foster connections within teams, across functions, and throughout the organizational structure.

Senior Data Engineer

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