Agile Lab is a top-tier data engineering firm, specialized in Spark and many other distributed technologies since 2013. Agile Lab is now employing 70 talented data engineers/scientists in a remote-first culture and with an international mindset.
Give a look at our handbook to discover our core values and processes:

We are looking to hire a talented Big Data Engineer to develop and manage our Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, data-intensive applications, and cloud platforms.
To ensure success as a Big Data Engineer, you should have in-depth knowledge of distributed computing technologies and top problem-solving skills.

• Analyzes and implements a complex feature autonomously
• Builds software solutions by adhering to our quality standards about SDLC:
• Participates in the technical design of features with guidance
• Understands and optimizes system performances.
• Prioritizes tasks with autonomy based on requirements and proper context.

• Bachelor’s degree in Computer Engineering or Computer Science.
• Previous experience as a Big Data Engineer (1-2 years)
• In-depth knowledge of Hadoop, Spark, and similar frameworks.
• Good Knowledge of programming languages including Java and Scala
• Familiarity at least on a cloud provider, and Docker tools
• Good project management skills
• Good communication skills
• Team Player
• Ability to solve complex networking, data, and software issues
• Eager to learn

Full time
da 1 a 2 anni
ICT Consultant
Da €30 A €45 ( RAL )
Laurea Ingegneria Informatica, Laurea Informatica
(Remote working - Totale)


Iscritto su Reteinformaticalavoro dal 08/11/2021

Since 2014 Agile Lab has been creating value for its Clients in data-intensive environments by leveraging the power of Big Data and Analytics, Machine Learning, Edge AI, IoT, Low Latency Data Streaming and Domain Driven Design. We offer consulting services, as well as business vertical solutions and full custom solutions development, from design to deployment, and full managed data services. ... Scopri l'azienda ›

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