23 ene
Svitla Systems
Nuevo Casas Grandes
.Svitla Systems Inc. is looking for a Principal Data Engineer for a full-time position (40 hours per week) in Mexico.
Our client is a global leader in intelligent intralogistics and material handling systems.
They serve various industries, including retail, manufacturing, food and beverage, and healthcare.
It is an American provider of automated technology, software, and services for optimizing the supply chain.
They design and manufacture individual products and material handling equipment such as automated storage and retrieval systems (AS/RS) and different types of conveyors, sortation systems, and order picking systems.
They also offer consultative, planning, and design services.
In addition,
the company provides software like warehouse management systems and systems that support material flow and paperless order-picking operations.
The company has engineering centers and manufacturing facilities in the United States, Germany, United Kingdom, Mexico, Australia, Belgium, China, Italy, Spain, France, Lithuania, and the Czech Republic, with a broad portfolio of solutions and a strong track record of innovation.
The client is gearing up to revolutionize the data landscape by building a cutting-edge Enterprise Data Lakehouse Platform.
They are forming multiple teams that will spearhead the creation of the platform's foundational components.
These teams go beyond traditional data ingestion; they are architects of a microservices-driven platform, providing abstractions that empower other teams to extend the platform seamlessly.
We seek a dynamic and highly skilled Principal Data Engineer with extensive experience building self-service enterprise-scale data platforms with microservices architecture and leading these foundational efforts.
This is a remote position,
and engineers will work Eastern US business hours.- Requirements:- 10-15 years of proven experience in modern cloud data engineering, broader data landscape experience, and exposure and solid software engineering experience.- Understanding architecting and building successful self-service enterprise-scale data platforms in a green field environment with microservices-based architecture.- Understanding building end-to-end data platforms and data services in GCP.- Experience with microservices architectures, such as Kubernetes and Docker.
The microservices are built using the TypeScript, NestJS, and Node.Js stack (all technologies are necessary, but they can be at a mid-level).- Proficiency in architecting, designing,
and developing experience with batch and real-time streaming infrastructure and workloads.- Solid experience with architecting and implementing metadata management, including data catalogs, data lineage, data quality, and data observability for big data workflows.- Hands-on experience with GCP ecosystem and data lakehouse architectures.- Strong understanding of data modeling, data architecture, and data governance principles
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.