Amazon Quicksight Specialist/Senior Data Engineer

hace 4 semanas


Madrid, Madrid, España Trimble A tiempo completo
Transformative Data Engineer Opportunity

At Trimble, we're committed to embracing transformation and change. As a transformative Data Engineer, you'll play a pivotal role in further developing our application that automates transport assignment to logistic partners. Your expertise in AWS QuickSight will be instrumental in optimizing our analytics and business intelligence (BI) environment.

Key Responsibilities:
  • Develop and maintain an advanced middle layer and data pipeline, optimized for analytics and BI 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.
  • Collaborate with solution consultants and product management to design and implement Amazon QuickSight analysis and dashboards that offer actionable insights.
Requirements:
  • 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.
About Us:

We believe in celebrating our differences and actively participating in opportunities to be inclusive. Our diversity is our strength, and we're committed to making sure our people feel seen, heard, and welcomed. We're an equal opportunities employer and welcome applications from diverse candidates.


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