Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 3 mois

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Prima

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2015

💼 Conseil

📦 Logistique

🛡️ Assurance

💰 €115 800 000 Series A en 2018-11

Consulting • Logistics • Insurance

Prima Power est un fournisseur de premier plan de machines haute performance et de solutions automatisées conçues pour améliorer la productivité dans le travail de la tôle. Ils se spécialisent dans les technologies avancées telles que la découpe laser, le poinçonnage et les solutions robotiques, offrant une approche modulaire de la fabrication qui s'intègre parfaitement aux processus de production des clients. Avec une philosophie axée sur le client, Prima Power vise à soutenir les entreprises de divers secteurs en améliorant l'efficacité et les capacités de production.

Description

• Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Leading the way in data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure. • Embrace continuous learning and experimentation to stay updated on emerging technologies, from testing open source tools to engaging in community-building activities like Meetups. Your passion for staying at the forefront of the field will drive your journey.

🎯 Exigences

• Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Databricks is a plus. • Experience in Data Lake / Big Data Analytics platform implementation with cloud based solution; AWS preferred. • Proficient in Python programming and software engineering best practices. • Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. • Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices.

🏖️ Avantages

• Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year. • Get access to learning resources, mentorship and a growth plan tailored to you. • Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.