Senior Data Engineer

📋 Description

• Be mentored by one of our outstanding performance team member along a 30/60/90 plan designed only for you
• Participate in data modelling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives
• Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints)
• Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
• Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer), as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE
• Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs

🎯 Requirements

• 5+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
• Proficiency in Python and SQL
• Knowledge of software engineering practices in data (SDLC, RFC...)
• Stay informed about the latest developments and industry standards in Data
• Fluency in English
• As a plus: Experience with our modern Data stack tools; Dimensional modelling/data warehousing concepts knowledge; Spanish language

🎁 Benefits

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects