Technical Lead, Spark (Java)

Cloudera; Lérida; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading data technology company in Spain is seeking a Technical Lead for Spark (Java). This role involves designing features, contributing to Apache projects, and leading delivery at scale. Ideal candidates will have 8-10+ years in software development with expertise in Java, Scala, or Python. The position offers generous PTO, flexible work options, and comprehensive benefits, empowering you to tackle challenges in complex distributed systems and make a significant impact on enterprise data solutions.

Servicios

Generous PTO Policy

Flexible WFH Policy

Comprehensive Benefits

Formación

• 8-10+ years of professional software development experience.
• Experience leading complex product enhancements.
• Solid experience with at least one cloud environment.

Responsabilidades

• Design new features for the data engineering experience.
• Contribute to Apache Spark and Livy.
• Collaborate with team members and stakeholders.

Conocimientos

Java

Scala

Python

Problem solving

Communication skills

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.

Position

Technical Lead, Spark (Java)

Responsibilities

• 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, focusing on Iceberg and Spark.
• 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.

Qualifications

• 8-10+ years of professional software development.
• Experience leading and delivering complex product enhancements.
• Strong understanding of at least one of Java, Scala, Python; 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.

Preferred

• Experience with SQL planners.
• Experience with 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 cloud.
• 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

EEO/VEVRAA