Join Us: Data Engineering to unlock value from Data (Milano-Torino)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7am0np

p Join Us: Data Engineering to Unlock Value from Data (Milano-Torino)p question = "Are you a Data Lover? " /pp answer = input(question) /pp if (answer.lower() == "yes"): /pp print("Target Reply is your place.") /pp Are you passionate about building data platforms and enabling AI-driven solutions? /pp At Target Reply, you design and develop data systems that turn raw data into actionable insights and power advanced analytics and Artificial Intelligence. /pp WHO WE ARE /pp Target 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. /pp 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. /pp WHAT WILL YOU DO? /pp 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. /pp 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. /pp AI integration: You enable AI-driven use cases by preparing, transforming, and serving data for Machine Learning models, real-time analytics, and intelligent applications. /pp Team work: You collaborate in cross-functional teams,



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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7am0np