Data Platform Engineer

November 21

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Motive

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Electronic Logging Devices • Fleet Management • Vehicle GPS Tracking • Driver Vehicle Inspection Reports • IFTA Reporting

1001 - 5000 employees

🚗 Transport

🤖 Artificial Intelligence

🏢 Enterprise

Description

• Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. • For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. • Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. • Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. • As a Software Engineer - Data Platform, you will be involved and responsible for full ownership and driving key data platform initiatives and life cycle of the data management including data ingestion, data processing, data storage, querying system, cost reduction efforts towards delivering product features to internal and external Motive customers. • We are looking for strong engineers to grow our Data Platform team. This team is responsible for driving the Motive’s Data Platform vision. The team works in three areas: 1. Build scalable systems and services for data ingestion, access, processing and query to enable data driven product features. 2. Collaborate and work closely with the various stakeholders and our backend product teams to improve and add features to the platform.

Requirements

• 3+ years Hands-on software engineering experience • Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python • Strong CS fundamentals including data structures, algorithms, and distributed systems • Experience in designing, implementing, and operating highly scalable software systems and services • Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes • Experience with service-oriented architectures • Excellent troubleshooting skills and track record of implementing creative solutions • Hands on experience with containerized platforms like Docker and Kubernetes • BS in Computer Science or a related field; Masters preferred • Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.