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A leading data solutions company in Madrid seeks a Technical Lead for Spark (Java). The role involves designing new features, leading a distributed team, and developing scalable systems. Candidates should have over 8 years in software development with strong skills in Java, Scala, of Python. Experience with distributed systems and contributions to open-source projects are a plus. The company offers flexible work hours, generous PTO, and comprehensive benefits.
Business Area: Engineering
Seniority Level: Mid-Senior level
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.
Cloudera is seeking a Technical Lead, Spark (Java) with strong distributed systems expertise to work on the Cloudera distribution of Apache Spark and Livy. The role involves building enterprise-grade systems for customers running Spark on thousands of nodes and processing petabytes of data.
We are looking for a passionate engineer eager to enhance a product already supporting major production systems and to drive the next-generation Data Engineering experience. You will collaborate with a distributed team across the United States and Hungary, including multiple Apache Spark committers.
You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that power CDP and keep it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.
Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.
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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.