Join Us: Data Engineering To Unlock Value From Data (Milano-Torino)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79wghx

Join Us: Data Engineering to Unlock Value from Data (Milano-Torino)question = "Are you a Data Lover? "Si candidi ora: legga i dettagli del lavoro scorrendo verso il basso. Verifichi di possedere le competenze necessarie prima di inviare la candidatura.answer = input(question)if (answer.Lower() == "yes"):print("Target Reply is your place.")Are you passionate about building data platforms and enabling AI-driven solutions ?At Target Reply, you design and develop data systems that turn raw data into actionable insights and power advanced analytics and Artificial Intelligence.WHO WE ARETarget Reply is a consulting company specialized in Analytics, Big Data, Data Science, Cloud Architectures, and Artificial Intelligence. Target Reply's main goal is simple: get value from data. How? Leveraging the capabilities of our excellent people — and that means your capabilities.Working at Target Reply means sitting at the table with tier-one customers across several industries, playing a first-level game. You will design and implement solutions based on modern data architectures and emerging technologies: Cloud-Native solutions, Real-Time Processing, Big Data, Artificial Intelligence, Machine Learning — that's our bread and butter.WHAT WILL YOU DO?Core activities: You design and implement end-to-end data pipelines, from ingestion to consumption. You contribute to building scalable data platforms that support analytics and AI use cases.Technologies: You work with Big Data frameworks, distributed storage systems, and cloud-native services (AWS, Azure, GCP). You use Python, Scala, or Java and integrate data solutions with AI/ML workflows.AI integration: You enable AI-driven use cases by preparing, transforming, and serving data for Machine Learning models, real-time analytics, and intelligent applications.Team work:



You collaborate in cross-functional teams, contributing to architectural decisions and ensuring high-quality delivery in complex environments.WE'LL TOTALLY LOVE YOU IF YOU HAVE...Academic background: A degree in Computer Science, Engineering, Mathematics, Statistics, or other data-related fields.Valuable expertise- Knowledge or familiarity of data engineering and Big Data ecosystems- Hands-on experience with Spark, Kafka, Java, Pyhton or Scala- Familiarity with cloud platforms (AWS, Azure, or GCP)- Understanding of data modeling, data pipelines, and distributed systems- Exposure to AI/ML workflows (data preparation, feature pipelines, model integration)Nice to have- Knowledge of real-time architectures and streaming pipelines- Familiarity with data orchestration and workflow toolsSoft skills- Problem-solving mindset and analytical thinking- Proactivity and ownership- Ability to work in collaborative environments- Clear communication skillsYOU WILL LOVE JOINING US BECAUSE...We have a start-up heart: You work in agile teams with real ownership, fast decision-making, and hands-on experience.But we think globally: You contribute to international projects with leading clients across industries.We are data-driven: You work on cutting-edge solutions in data engineering, cloud, and AI, delivering real business impact.We never stop learning: You continuously grow your skills in an environment focused on innovation and emerging technologies. xysqume WHAT ARE THE NEXT STEPS- Technical interview with data specialists- Final interview with HRDiversity & InclusionReply is committed to fostering an inclusive environment and ensuring a fair and accessible recruitment process, in line with current regulations (L.68/99).If any support is needed during the selection process, it can be requested at any stage.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79wghx