Data Engineer

hace 2 semanas

Madrid Centro, Madrid, España Trimble A tiempo completo

About the Role:

We are seeking a highly skilled Data Engineer - Amazon QuickSight Specialist to join our team at Trimble. As a key member of our product team, you will play a crucial role in further developing our application that automates the assignment of needed transport to specific logistic partners.

Key Responsibilities:

  1. Develop and maintain an advanced middle layer and data pipeline, specifically optimized for analytics and business intelligence (BI) in our AWS RDS-hosted PostgreSQL database environment.
  2. Assume full ownership of our BI environment, implement and uphold data governance and quality standards to maintain data integrity and security.
  3. Build and manage a database schema to align with analytics and BI requirements.
  4. Facilitate efficient usage of Amazon QuickSight for analytics and BI.
  5. Collaborate with solution consultants & product management to design and implement Amazon QuickSight analysis and dashboards that offer actionable insights.

Requirements:

  1. Significant experience in data engineering, particularly with Amazon QuickSight for analytics and BI solutions.
  2. Expertise in managing and optimizing PostgreSQL databases, especially within an AWS RDS context.
  3. Experience working with large data sets.
  4. Focus on automation by writing software in Python.
  5. Exceptional quantitative, analytical, and problem-solving skills.
  6. Proficiency in building data pipelines and schemas specifically for BI and analytics.
  7. Proven ability to cooperate with cross-functional teams to deliver data-driven solutions.
  8. Knowledge of data governance, security practices, and compliance standards.

About Us:

We believe in celebrating our differences and actively participating in opportunities to be inclusive. Our diversity is our strength, and we are committed to creating a workplace that is welcoming and inclusive for all. We are an equal opportunities employer and welcome applications from diverse candidates.

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