Data Engineer

Responsibilities:

• Transform Requirements: Translate both functional and technical requirements into detailed design specifications.
• Develop Scalable Solutions: Design, develop, test, deploy, and maintain a robust, scalable data platform for advanced analytics.
• Drive Innovation: Shape our BI and analytics roadmap, contributing to the conception, implementation, and ongoing evolution of projects.
• Collaborate Across Teams: Work closely with Product Managers, Data Architects, DevOps Engineers, and other Data Engineers in an agile environment.
• Problem-Solve Creatively: Tackle complex challenges with curiosity, open-mindedness, and a commitment to continuous improvement.

Your Profile:

• Experience: Multiple years as a Data Engineer with extensive experience in big data, data integration, cloud data warehousing, and data lakes.
• Technical Skills:
  • Strong experience building data processing pipelines using Databricks.
  • Advanced proficiency in Python, PySpark, and SQL.
  • Practical experience with CI/CD pipelines, Terraform, and cloud build tools (e.g., Google Cloud Build).
  • Knowledge of the GCP ecosystem (Pub/Sub, BigQuery, Cloud Functions, Firestore) is a plus.
  • Familiarity with AI frameworks in Python is advantageous.
  • Experience with data analytics tools (e.g., Power BI, MS Dynamics, Salesforce CRM Analytics) is beneficial.
  • Skills in GoLang and Java are a bonus.
• Attributes: A collaborative team player who is open, creative, analytical, self-motivated, and solution-oriented. Comfortable in an international, intercultural environment.