About the Role: We’re seeking a skilled Data Engineer to help build and evolve our Business Insights and Analytics platform, designed to drive insights for our Software Monetization clients. In this impactful role, you'll work alongside a talented team to design, develop, and scale a modern, data-driven analytics platform.
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.
