Join Us: Data Engineering to unlock value from Data

12 set - Milano
Target Reply

Join Us: Data Engineering to Unlock Value from Data (Milano-Torino)

*question = "Are you a Data Lover? "*

*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 ARE

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.

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-re

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