
Construction ⢠Transportation ⢠Geospatial
Trimble Inc. is a technology company that provides advanced solutions across various sectors including construction, transportation, geospatial, and natural resources. They empower industries to improve efficiency and profitability by leveraging real-time data insights, innovative software, and precise hardware. Trimble's solutions are used by millions of professionals globally, helping them to collaborate effectively and manage complex workflows, ultimately transforming how work gets done in diverse environments.
10,000+ employees
đ° Post-IPO Debt on 2022-12
August 9

Construction ⢠Transportation ⢠Geospatial
Trimble Inc. is a technology company that provides advanced solutions across various sectors including construction, transportation, geospatial, and natural resources. They empower industries to improve efficiency and profitability by leveraging real-time data insights, innovative software, and precise hardware. Trimble's solutions are used by millions of professionals globally, helping them to collaborate effectively and manage complex workflows, ultimately transforming how work gets done in diverse environments.
10,000+ employees
đ° Post-IPO Debt on 2022-12
⢠Design and implement scalable data solutions on AWS, including data lakes, warehouses, and streaming systems. ⢠Develop, optimize, and maintain data pipelines using AWS services. ⢠Implement robust ETL/ELT processes and event-driven data ingestion. ⢠Establish and enforce data governance policies, ensuring data quality, security, and compliance. ⢠Optimize cloud resources for performance, availability, and cost-efficiency. ⢠Partner with cross-functional teams to gather requirements and deliver comprehensive cloud-based solutions. ⢠Identify opportunities to enhance systems, processes, and technologies while troubleshooting complex technical challenges.
⢠Experience in AWS platforms, including data services. ⢠Basic knowledge of Azure is preferred. ⢠Experience in data engineering, strong competence in ETL processes, data warehousing, and big data technologies. ⢠Advanced skills in scripting, Python, SQL, and infrastructure automation tools. ⢠Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). ⢠Experience with data visualization tools (e.g., QuickSight) is a plus. ⢠Openness to work daily with AI tools like Cursor. ⢠Ability to work independently and responsibly, and self-discipline for remote work.
⢠Inclusiveness commitment for diversity, equity, and inclusion. ⢠Celebration of differences and community belonging.
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