Staff Data Engineer - Lead Big Data & Cloud Platforms

Agile Lab; Torino; Ibrido; EUR 62.000 - 73.000; Tempo pieno

Descrizione del lavoro

An innovative company is seeking a talented Staff Engineer to develop and manage cutting-edge Big Data solutions. In this dynamic role, you will design and implement robust tools and frameworks, ensuring the delivery of high-quality, data-intensive applications. Join a collaborative team that values autonomy and fosters a supportive work environment. With opportunities for professional growth and a strong emphasis on work-life balance, this position offers the chance to make a significant impact in the data engineering field. Embrace the challenge and be part of a forward-thinking organization that prioritizes creativity and innovation.

Servizi

Full remote or hybrid working

Monthly training budget

Structured career path

Support of a buddy

Corporate welfare programs

Opportunity to work abroad

Referral bonus

Attend one conference per year

Inclusive environment

Growth-oriented environment

Competenze

• 7+ years of experience in Big Data engineering.
• In-depth knowledge of Hadoop and Spark frameworks.
• Proficiency in Java and Scala programming languages.

Mansioni

• Design and implement Big Data tools and frameworks.
• Mentor junior engineers and improve team processes.
• Lead the technical design of complex systems.

Conoscenze

Hadoop

Spark

Java

Scala

Cloud-native technologies

Infrastructure as Code (IaC)

Docker

Project management

Communication

Problem-solving

Formazione

Bachelor’s degree in Computer Engineering

Bachelor’s degree in Computer Science

Strumenti

Docker

Descrizione del lavoro

An innovative company is seeking a talented Staff Engineer to develop and manage cutting-edge Big Data solutions. In this dynamic role, you will design and implement robust tools and frameworks, ensuring the delivery of high-quality, data-intensive applications. Join a collaborative team that values autonomy and fosters a supportive work environment. With opportunities for professional growth and a strong emphasis on work-life balance, this position offers the chance to make a significant impact in the data engineering field. Embrace the challenge and be part of a forward-thinking organization that prioritizes creativity and innovation.