Lead It Developer

Cloudera
Barcelona, Spain
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
Czech

Tech stack

Java (Programming Language) Artificial Intelligence Apache HTTP Server Information Engineering Data Infrastructure Distributed Computing Environment Distributed Systems Fault Tolerance Python (Programming Language) Open Source Technology Cloudera Scala (Programming Language)
+6 more
SQL Databases System Testing Parquet Data Processing Apache Spark Build Management

Job description

Business Area: EngineeringSeniority Level:Mid-Senior levelJob 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 Senior Staff Software Engineer, 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 Senior Staff Software Engineer, 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 scaleContribute to Apache Spark, LivyDevelop new features in Scala/Java/Python on a modern platformsGain 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 tasksGet to work on large scale distributed systems, from 100s to **s of nodes, in production clustersDebug system level deployment issues, root cause analysis, perform system test analysis and resolve failuresWork on improving internal infrastructureCollaborate with other team members and stakeholdersWe are excited if you have (Required Experience):Bsc/Msc in related field or equivalent experience6+ years professional software development.We use Java/Scala/Python in projects, you should have a strong understanding of at least one of the following languages: Java, Scala, Python.Passionate about programming, clean coding habits, attention to detail, and focus on qualityStrong oral and written communication skills.Strong ability to research and solve problems independently without constant supervision(Most importantly) Open-minded, desire to learn new things and build great products.Experience with SQL plannersExperience 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 cloud sWhy this role matters: You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps 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 DaysFlexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer TimeEmployee Resource GroupsEEO/VEVRAA#LI-AO1#LI-HYBRID#LI-REMOTESummaryLocation: Spain-Barcelona-Remote; UK-Remote; Czech Republic >Remote; Ireland-RemoteType: Full time

Requirements

and resolve failuresWork on improving internal infrastructureCollaborate with other team members and stakeholdersWe are excited if you have (Required Experience):Bsc/Msc in related field or equivalent experience6+ years professional software development.We use Java/Scala/Python in projects, you should have a strong understanding of at least one of the following languages: Java, Scala, Python. Passionate about programming, clean coding habits, attention to detail, and focus on qualityStrong oral and written communication skills.Strong ability to research and solve problems independently without constant supervision(Most importantly) Open-minded, desire to learn new things and build great products.Experience with SQL plannersExperience 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 cloud sWhy this role matters: You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale.

Benefits & conditions

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 DaysFlexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer TimeEmployee Resource GroupsEEO/VEVRAA#LI-AO1#LI-HYBRID#LI-REMOTESummaryLocation: Spain-Barcelona-Remote; UK-Remote; Czech Republic >Remote; Ireland-RemoteType: Full time

About the company

Business Area: EngineeringSeniority Level:Mid-Senior levelJob 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 Senior Staff Software Engineer, 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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Introduction to open table formats built on Parquet

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Comparing offline data analytics with online stream processing

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Solving complex platform architecture challenges at an enterprise scale

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