Data Engineer - Remote

Overview

This role is ideal for professionals with a strong technical foundation, excellent data modeling and governance expertise, and exceptional communication skills. By working closely with various departments, the Data Engineer will directly contribute to impactful business decisions and initiatives, bridging the gap between technical solutions and business needs.

In Short

• Design, build, and manage robust data pipelines using Airflow.
• Contribute to the development of our data platform.
• Manage and optimize cloud-based infrastructure using AWS.
• Implement and manage infrastructure as code using Terraform.
• Translate complex business needs into effective data architecture.
• Design and maintain data models that align with business requirements.
• Use SQL to build and optimize data models.
• Advocate for data governance best practices.
• Collaborate closely with cross-functional teams.
• Lead data engineering projects and initiatives for senior professionals.

Requirements

• 3+ years of experience in data engineering roles.
• Proficiency in Python.
• Hands-on experience with AWS and orchestration tools.
• Expertise in SQL and analytical data warehouses.
• Strong data modeling skills.
• Deep understanding of data governance practices.
• Excellent communication skills.
• Proven ability to manage and prioritize tasks.
• Leadership experience for senior-level professionals.

Benefits

• RSUs grant in a rapidly growing company.
• Annual bonus.
• Multinational team with diverse nationalities.
• Learning & Development plan.
• Company Impact Days.
• Flexible working hours + home office.
• Life insurance.
• Remote working allowance.
• Company therapy pets in the office.
• Team buildings and company events.