Big Data Engineer

Capgemini; Italia; Ibrido; EUR 45.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading tech innovator is seeking a talented Big Data Engineer to design, implement, and optimize data pipelines. The ideal candidate will possess a Bachelor's or Master's degree in Computer Science or Engineering and have proven experience with Big Data technologies like Hadoop and Spark. This role offers a competitive salary and dynamic work environment with growth opportunities. Join us and drive impactful solutions across various groundbreaking projects in Italy.

Servizi

Competitive salary and benefits

Dynamic work environment with growth opportunities

Work with cutting-edge tech

Competenze

• Proven experience with Big Data technologies like Hadoop, Spark, Hive.
• Strong understanding of ETL processes, data modeling, and data quality principles.
• Familiarity with Data Virtualization tools and DevOps techniques is a plus.

Mansioni

• Design, develop, and optimize robust data architectures and pipelines.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Ensure data security, integrity, and compliance across systems.

Conoscenze

Big Data technologies

Java

Python

R

PL / SQL

ETL processes

Data modeling

Data quality principles

PySpark

Problem-solving skills

Formazione

Bachelor’s or Master’s degree in Computer Science, Engineering

Descrizione del lavoro

Job Title

Big Data Engineer 🚀

Company

Capgemini

Location

Italy (Rome, Milan, Turin, Bologna)

About Us

Capgemini is a leading tech innovator 🌟, committed to pushing boundaries and driving impactful solutions for our clients. The Insights practice is part of Capgemini’s global Insights & Data group; our goal is to help the organizations we work with become truly ‘insight driven’, to fully exploit their data using the convergence of Cloud and Artificial Intelligence to deliver real business value.

Position Overview

Seeking a talented Big Data Engineer to join our dynamic team! As part of our team, you'll design, implement, and optimize data pipelines 🛠️ to handle massive volumes of data efficiently.

Responsibilities

• 🏗️ Design, develop, and optimize robust data architectures and pipelines.
• 🤝 Collaborate with cross-functional teams to translate business needs into technical solutions.
• 🔐 Ensure data security, integrity, and compliance across systems.
• 📈 Stay ahead of the curve with emerging trends in Big Data and analytics.

Requirements

• 🎓 Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 🧠 Proven experience with Big Data technologies like Hadoop, Spark, Hive.
• 💻 Proficiency in Java, Python, R, PL / SQL , or similar languages.
• 🔄 Strong understanding of ETL processes , data modeling , and data quality principles.
• 🧬 Experience with Modern DWH , Lambda / Kappa architectures , and Distributed Systems.
• 🧰 Familiarity with Data Virtualization tools and DevOps techniques is a plus.
• ⚡ Preferred knowledge of PySpark and advanced analytics techniques.
• 🗣️ Proficiency in English (written and spoken).
• 🧩 Excellent problem-solving skills and the ability to thrive in a dynamic environment.

Why Join Us

• Work with cutting-edge tech 🌐.
• Competitive salary and benefits.
• Dynamic work environment with growth opportunities.
• Make a real impact on groundbreaking projects!

Join us and Get the future you want!!! Apply now! 🚀