Amazon QuickSight Data Engineer

hace 4 semanas


Madrid, Madrid, España Trimble A tiempo completo
Transformation Challenge

We are seeking a talented Data Engineer to join our team at Transporeon, a Trimble Company. As an Autonomous Procurement expert, you will play a key role in developing our application that automates the assignment of needed transport to specific logistic partners.

Your Responsibilities
  • Develop and maintain an advanced middle layer and data pipeline, optimized for analytics and business intelligence in our AWS RDS-hosted PostgreSQL database environment.
  • Assume full ownership of our BI environment, implementing and upholding data governance and quality standards to maintain data integrity and security.
  • Build and manage a database schema to align with analytics and BI requirements.
  • Facilitate efficient usage of Amazon QuickSight for analytics and BI.
  • Collaborate with solution consultants and product management to design and implement Amazon QuickSight analysis and dashboards that offer actionable insights.
Your Qualifications
  • Significant experience in data engineering, particularly with Amazon QuickSight for analytics and BI solutions.
  • Expertise in managing and optimizing PostgreSQL databases, especially within an AWS RDS context.
  • Experience working with large data sets.
  • Focus on automation by writing software in Python.
  • Exceptional quantitative, analytical, and problem-solving skills.
  • Proficiency in building data pipelines and schemas specifically for BI and analytics.
  • Proven ability to cooperate with cross-functional teams to deliver data-driven solutions.
  • Knowledge of data governance, security practices, and compliance standards.
Our Inclusiveness Commitment

We believe in celebrating our differences and actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.


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