Software & Data Engineer (Remote - Latin America)

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Requirements:

• 2-5 years of experience in fast-paced environments.
• Adept at data analysis and process improvement.
• Ability to work collaboratively but also own projects with little guidance.
• Thrive in environments with quick iterations.
• Strong communication skills in English (CEFR level C1 is a must).
• Strong attention to detail.
• Proficiency in Python and/or SQL.
• Familiarity with databases and data warehouses (Snowflake, Redshift, BigQuery, etc.).
• Comfortable creating complex data models and visualizations.
• Familiarity with development tools (Terraform, GitHub, Docker, etc.).
• Knowledge of AWS environments (EC2, Lambda, RDS, etc.).
• Bachelor's degree in computer science or similar field.
• Google Professional Data Engineer / Cloud Developer certifications are a plus.
• AWS associate or professional-level certifications are a plus.
• Knowledge of Google Analytics, Salesforce, HubSpot, or ZenDesk is a plus.
• Knowledge of Looker or Tableau is a plus.

Responsibilities:

• Help design and implement data pipelines and analytic infrastructures with the latest technologies.
• Create beautiful dashboards and reports, and work with customers to create self-service exploration data cubes using Looker.
• Develop Python & SQL components to integrate and automate a variety of processes and tools.
• Leverage APIs from multiple systems to extract and update data, trigger and monitor processes.
• Maintain and oversee cloud infrastructure.
• Help create Data Models, best practices, and technical documents.
• Develop internal best practices regarding DevOps and DataOps.
• Coordinate projects, activities, and tasks.
• Identify opportunities and generate innovative solutions.