Three Ventures Technology, Inc.

Data Engineer

• Architect, design, and maintain high quality code in Python
• Design data pipelines that can consume from various systems in different shapes and sizes, including but not limited to Kafka, sensors, real time streams, and data lakes
• Be well versed in AWS, Azure, container based applications, and Kubernetes
• Work on different types of data engineering workloads, such as incremental, delta, and single source of truth patterns
• Review and approve PRs across services and SDKs with deep context and constructive feedback
• Rapidly prototype, scaffold systems, and break down complex architectures into modular subsystems and micro-services
• Lead and foster a high code quality culture within the organization, while carefully implementing software design patterns, messaging patterns and architectures
• Own technical strategy for scalable cloud infrastructure across AWS, Azure and multi-cloud setups
• Contribute to decision making on "build vs buy," especially around open source and commercial tools
• Build integrations and abstractions around customers’ legacy business systems such as SAP and GIS
• Help create and deploy modern data pipelines, APIs and SDKs
• Drive automation first thinking across environments, pipelines, and deployments
• Maintain high quality, reliable data engineering pipelines
• Actively participate in customer engagements, translating feedback into product and platform improvements
• Build tools and interfaces with UX sensitivity, working with the product design team focusing on user centric business software
• Mentor junior engineers in multiple time zones and collaborate cross functionally with product, data science, and customer success teams
• Create low latency, high throughput systems

Principal Software Engineer – Data Engineering, Cloud