Join Us: Data Engineering To Unlock Value From Data

31 ago - Volpiano
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-related f

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