Staff Platform Engineer

01 ago - Italia
Altro

Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices.
Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures.
With a highly skilled team of over 130 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation.
We are looking to hire a talented Staff 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.
Salary: 62.5K - 72.5K + up to 8K premio
Responsibilities
Analyzes, designs, and implements complex systems
Challenges the team processes, looking for ways to improve
Mentors junior engineers via pairing, design, and code review
Builds software solutions by adhering to our quality standards about SDLC
Makes active efforts to stay up-to-date with technologies
Leads the technical design of complex systems
Understands and optimizes system performances
Takes the initiative to fix issues before they become a problem
Delivers complex systems, well-baked, and almost bug-free
Proactively Identifies problems with requirements and project plan
Go to expert in one technological area
Research and propose new technologies
Detect possible performance bottlenecks
Known for drama-free launches
Can jump into an old project and fix it
Consistently influence technical and business r

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