Technical Lead, Spark (Java)

Cloudera; A distancia; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

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.

Servicios

Generous PTO Policy

Flexible WFH Policy

Mental & Physical Wellness programs

Formación

• 8-10+ years of professional software development experience.
• Strong understanding of at least one of the following languages: Java, Scala, Python.
• Experience with distributed systems and SQL planners.

Responsabilidades

• Design new features for Cloudera's data engineering experience.
• Contribute to Apache Spark and Livy development.
• Debug system-level deployment issues.

Conocimientos

Java

Scala

Python

Distributed systems

Systems design

Herramientas

Apache Spark

Livy

Descripción del empleo

Business Area: Engineering

Seniority Level: Mid-Senior level

Job Description

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.

As a Technical Lead, Spark (Java), you will…

• Design new features for Cloudera’s data engineering experience, and take them from prototypes to leading a team to deliver the feature in production at scale.
• Contribute to Apache Spark, Livy.
• Develop new features in Scala/Java/Python on modern platforms.
• Gain expertise in distributed data processing, from SQL planners and optimizers, to data layout and table formats like Apache Parquet and Iceberg, to fault tolerance in distributed systems.
• Gain a solid understanding and deep technical knowledge of components across the Cloudera Data Engineering Experience stack, but focusing on Iceberg and Spark, which you can utilize in your daily tasks.
• Get to work on large-scale distributed systems, from 100s to 1000s of nodes, in production clusters.
• Debug system-level deployment issues, root cause analysis, perform system test analysis, and resolve failures.
• Work on improving internal infrastructure.
• Collaborate with other team members and stakeholders.

We are excited if you have…

• 8-10+ years of professional software development.
• Experience leading and delivering complex product enhancements.
• We use Java/Scala/Python in projects; you should have a strong understanding of at least one of the following languages: Java, Scala, Python. And interested to learn the languages we’re using.
• Experience with systems design, development.
• Passionate about programming, clean coding habits, attention to detail, and focus on quality.
• Strong oral and written communication skills.
• Strong ability to research and solve problems independently without constant supervision.
• Open-minded, desire to learn new things and build great products.
• Experience with distributed systems.

You may also have…

• Experience with SQL planners.
• Experience with using/developing Apache Spark, Livy or other related technologies.
• Experience with large-scale, distributed systems design and development with an understanding of scaling, performance, and scheduling.
• Solid experience with at least one clouds.
• Contributors to open-source projects.

Why this role matters:

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.

What you can expect from us:

• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups

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