Trimble Inc.
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
đź’° Post-IPO Debt on 2022-12
Staff Data Engineer - Data Architect
August 9
Trimble Inc.
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
đź’° Post-IPO Debt on 2022-12
đź“‹ Description
• Lead the design and implement robust, scalable, and secure cloud-based data pipelines and architectures in AWS (later maybe migrating to MS Azure). • Ensure best practices in code quality, architecture, and design. • Design and implement secure, scalable, and high-performance cloud infrastructure. • Manage cloud resources, optimize costs, ensure high availability and disaster recovery. • Automate infrastructure provisioning and deployment processes using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, and ARM templates. • Collaborate with cross-functional teams to understand data needs and deliver comprehensive cloud solutions. • Oversee cloud infrastructure management, including monitoring, maintenance, and scaling of cloud resources. • Ensure compliance with industry standards and regulatory requirements. • Implement data governance policies and practices and ensure high data quality, integrity, and security across all cloud platforms. • Identify and implement process improvements to enhance efficiency, quality, and scalability of data engineering and cloud operations. • Stay current with emerging technologies and industry trends to drive innovation. • Utilize AI to increase our efficiency.
🎯 Requirements
• Min. 8 years of proven experience as a Data Engineer with current focus on data architecture design. • Extensive experience with AWS and Azure cloud platforms and their data services (e.g., AWS Redshift, AWS Glue, AWS S3, Azure Data Lake, Azure Synapse, Snowflake, Databricks). • Strong understanding of ETL processes, data warehousing, and big data technologies. • Proficiency in SQL, Python, and other relevant programming languages. • Experience with infrastructure as code (IaC) tools such as Terraform, CloudFormation, or ARM templates. • Knowledge of containerization and orchestration (e.g., Docker, Kubernetes). • Understanding of cloud cost management and optimization strategies. • Familiarity with CI/CD pipelines and DevOps practices. • Excellent leadership, communication, and interpersonal skills. • Ability to work in a fast-paced, dynamic environment. • Strong problem-solving and analytical skills. • Familiarity with data visualization tools (e.g., Power BI, QuickSight) is a plus. • Openness to use AI, in our case Cursor, as your daily tool.
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