Mdu-933 | Data Ops Engineer

Detalles de la oferta

AB Tasty is a global leader in AI-powered experience optimization solutions empowering brands using personalization, experimentation, recommendations, and search to build better experiences on their websites and apps. Integrated into a single platform, AB Tasty offers web and API-based solutions that provide companies with a unified approach to creating seamless experiences for customers. Brands use AB Tasty's platform to align digital, e-commerce, and product teams on revenue goals by optimizing and innovating digital experiences. Founded in 2013, AB Tasty's customer roster includes world-leading brands such as Kering, McDonald's, Ulta Beauty, L'Oreal, Disneyland Paris, and LVMH among others. AB Tasty has 12 offices across the globe:

North America, Europe, Asia Pacific.

In AB Tasty, Tech teams are split into 3 families: Infrastructure team, Features teams, and Core Platform teams. The Core Platform teams are responsible for the invisible skeleton of the AB Tasty solution: Javascript TAG, SDKs DevExperience, Data Engineering, and Core Interface teams. We want to create a new team in AB Tasty within this family, Core Data Ops, which will be responsible for creating and maintaining an internal dashboard to follow all tech and product teams OKRs. It aims to define a common space to visualize it, define a process to gather the data from multiple sources, and propose an evolutive interface to follow all the KPIs with history and apply filters. Your role will require communicating with other teams to know where their KPI are exposed and propose a proper way on how we can access it. Your clients will be internal: Heads of 3 Tech Departments, CTO, Comex. Also, you'll be involved in the Data Engineering Chapter, to share news and demos about Data Technologies.

The Data Ops refers to the Head of Core Platform.

Responsibilities: Working closely with all Engineering and Product teams to define a dashboard according to the clients' needs, with metrics to follow and available filters.Designing and monitoring a new ETL pipeline using JAVA, Python, NodeJS or GoLang.Communicating with Data Engineers to propose and validate a proper solution to gather and store data.Choosing and deploying a new tool that fits with clients' requirements to visualize data.Communicating with stakeholders and the Infrastructure team to develop APIs to return these KPIs, and maintain clear documentation.Automating alerts on Slack depending on defined threshold values.Sharing insights and updates in Data Engineering Chapter meetings and presenting updates and demos about Data Technologies.Depending on the roadmap, further mission to unify internal data dashboard from other AB Tasty teams.
El anuncio original lo puedes encontrar en Kit Empleo:
https://www.kitempleo.es/empleo/129236709/mdu-933-data-ops-engineer-madrid/?utm_source=html
#J-18808-Ljbffr


Salario Nominal: A convenir

Fuente: Jobleads

Requisitos

Data Scientist

**Descripción**: Desde Grupo Digital buscamos un/a **Data Scientist** para trabajar en un proyecto estable. **Ubicación**:Madrid **Horario**: jornada compl...


Grupo Digital - Madrid

Publicado 14 days ago

Empleado En Prácticas Remuneradas De Comunicación

Savoir Faire, Agencia de Comunicación con más de 25 años de trayectoria profesional especializada en marcas de lujo, busca incorporar a su equipo una persona...


Savoir Faire - Madrid

Publicado 14 days ago

Consultor/A Senior Data Scientist

El equipo de Data & Analytics de EY trabaja con las principales entidades financieras y aseguradoras a nível nacional e internacional. Llevamos a cabo proyec...


Ey - Madrid

Publicado 14 days ago

Especialista En Animales De Compañía - (Las

**Descripción**: ¿Eres apasionado/a de los animales de compañía? ¡Este es tu sitio! Únete a nuestra gran familia y serás parte de un proyecto emocionante. T...


Tiendanimal - Madrid

Publicado 14 days ago

Built at: 2024-12-24T19:20:41.694Z