Scrum Master

Frontiers + Seguir empresa
100% En remoto 10/08/2022

Descripción de la oferta de empleo

We are looking for a senior Data Engineer/Architect with experience leading teams, to join our business and help us to start and evolve a multidisciplinary Data Team that will include DS/ML engineers, Python SW engineers, Data Engineers, and Data QA engineers.

Job Role:

- Leading, coaching, and evolving your team, creating a culture of excellence that will allow them professional growth
- Leading the work in a complex data-intensive environment, including ETLs, Streaming Processes, Data Lakes, ML models, Data Services, Web Scraping for data sourcing and several DB typologies
- Delivering Data as your final product, ensuring its overall quality and accuracy using the right QA strategies
- Keeping yourself up to date on all relevant Data disciplines: learning, innovating, applying best practices, being aware of lessons learned and suggesting improvements
- Leading your initiatives and projects in a proactive way
- Helping with coordination of Data projects and initiatives between the different stakeholders across teams
- Mapping business and technical requirements into actionable initiatives, reporting and analyzing results in a timely manner, and learning from any mistakes
- Understanding and evaluating risk factors and the possible impact of your projects
- Maintaining strong working relationships through detail-oriented and effective communication

What we are looking for:

- Minimum 8 years’ experience as a Data Architect or Data Engineer with at least 3 years leading teams
- Strong knowledge of current industry-wide Data Engineering and DS/ML practices, tools, and techniques
- Our technical stack is based on Azure Cloud, Data Factory, Kafka, Databicks, PySpark, Delta Lake, SQL Server, MongoDB, ElasticSearch and therefore knowledge on any of these would be highly beneficial

These are some of the data challenges we are working on and therefore any experience with these would be beneficial:

- Classification and recommendation algorithms and ML models
- Classifiers like KNN and filtering algorithms Matrix Factorization
- Disambiguation and clusterization of Data obtained from different sources
- Web scraping as a data source for ETLs
- Transformation of ETL pipelines into real-time -like processes incorporating stream data via Kafka
- Leverage on Delta Lake capabilities to implement persistent IDs for our Entities
- A natural leader who is proactive
- Comfortable handling uncertainty in evolving scenarios who can understand priorities and balance them
- Familiarity with Agile framework
- Excellent verbal and written communication skills in English

Benefits

With more than 50 nationalities represented in our global team, you will work regularly with teammates in other countries, and with our community of researchers, editors, and authors from around the globe.

Our mission to create solutions for healthy lives also extends to the working environment we provide for our employees.

This includes:
- 100% remote working
Employees now have the flexibility to choose where they want to work, with remote working available on a part- or full-time basis.

- Learning and development
All employees have access to LinkedIn Learning (and Pluralsight for our technology team), an annual personal learning budget, and dedicated L&D time.

- Wellbeing
We offer free online yoga classes, an employee assistance plan, access to the Headspace app, and four wellbeing days on top of your annual leave allowance.

- Volunteering opportunities
Employees can dedicate three days each year to volunteer for a personal cause or through our volunteering partner platform, Alaya.

Otros detalles de la oferta

Formación Mínima: Grado Medio

Nivel Profesional: Empleado

CVs inscritos en el proceso: 22

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Datos principales de la oferta
  • 100% En remoto
    Ubicación
  • Jefe de Proyecto
    Funciones
  • Jornada completa
    Jornada
  • Más de 5 años
    Experiencia
  • Indefinido
    Tipo contrato
  • scrum Azure Cloud Data Factory Kafka

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