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Staff Data Platform Engineer
hace 3 semanas
From Manage Resources we are looking for a **Staff Data Platform Engineer** for Dexterity (a robotics industry company).
PLEASE READ THE REQUIREMENTS CAREFULLY
**Contractor** - Duration: indefinite
Monthly remuneration**:USD**
**Remote**
PTO: 15 days
**English level**: B2 - C1 - C2 **(REQUIRED)**
**About the Role**
The Data group at Dexterity is designing one of the most distributed data infrastructures on the planet. Our charter is to build a platform that connects the world’s warehouses, spanning from the edge devices to the cloud.
With a growing number of robots deployed across the world, Dexterity’s robots collect terabytes of operational data at the edge which is used to improve our operations as well as that of our customers. Our data platform ingests raw robotic sensor data, video/ still image feeds, along with a variety of log data while handling considerations like low-bandwidth connections. We extensively utilize cutting edge collection and transformation tools to unlock the potential from our data. We are looking for talented engineers to shape and build the next generation of the data engineering pipelines to bridge the divide between edge and the cloud.
**As a Data Platform Lead, your responsibilities will include**:
Design, implement, and optimize the performance of distributed data platforms (distributed systems) spanning from the edge to the cloud with security, reliability and network constraints in mind.
Architect and design the data pipelines for AI/ ML heavy workloads in mind in order to extract crucial insights from the data
Work with product teams across the company to identify the needs of data and build out features
Have a good knowledge of data modeling and distributed systems like Spark, Hadoop, kafka, Elasticsearch etc
Help build a fast-growing team by mentoring other engineers and contribute to Dexterity’s strong customer focused culture
Tech-lead several key initiatives and define the future Dexterity big data pipelines and platform
**Basic Qualifications**:
BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
10+ years of experience in software design, data engineering, data processing at scale and basic algorithm related solutions.
7+ years of programming experience in Java, Python, C/C++, Rust, Go, or other relevant coding languages
Hands-on experience developing/managing distributed systems or other large-scale systems.
**Preferred Qualifications**:
Experience with data infrastructure technologies like Kakfa, Elastic search, HDFS, distributed tracing etc.
Experience with observability/telemetry tech stack like Prometheus/Victoria metrics/ Grafana, Alert manager etc
Experience with building solutions on a public cloud platform like GCP, Azure etc.
Experience with industry, open-source projects and/or academic research in data management, data modeling, relational databases, and/or large-data, parallel and distributed systems
Experience with deploying solutions on a on-premise systems and on public cloud platform
Experience in building data infrastructure for AI/ ML ecosystems
**POR FAVOR LEER ATENTAMENTE LOS REQUISITOS**
Tipo de puesto: Tiempo completo, Indefinido
Salario: A partir de $5.000,00 al mes
Pregunta(s) de postulación:
- ¿Cuántos años de experiência en diseño de software tenés?
- ¿Tenés experiência en desarrollo/gestión de sistemas distribuidos u otros sistemas a escala?
- ¿Contás con experiência en proyectos de código abierto?
- ¿Posees experiência en la construcción de infraestructura de datos para ecosistemas de IA/ML?
- Remuneración pretendida mensual en USD
