Senior Scala Developer (Apache Spark)

TL;DR

Senior Scala Developer (Apache Spark): Lead complex Spark implementations and mentor team members while designing and optimizing data-intensive applications with an accent on Apache Spark internals, functional programming, and JVM optimization. Focus on contributing to open source, performance tuning, and building large-scale fault-tolerant Spark pipelines.

What you will do

• Contribute actively to Apache Spark and related open source projects as a core contributor.
• Lead development of distributed data applications using Scala and Spark APIs.
• Implement advanced Dataset and typed transformations with Scala’s functional features.
• Drive performance tuning and memory optimization in Spark applications.
• Mentor junior developers and review Scala/Spark code for best practices.

Requirements

• Advanced level of English required.
• 10+ years of experience in software development.
• Strong expertise in Scala, functional programming, and JVM optimization.
• Deep understanding of Spark internals, Catalyst optimizer, and Tungsten execution engine.
• Experience in building large-scale, fault-tolerant Spark pipelines.
• Proven track record of contributions to Spark or other Apache projects.

Culture & Benefits

• Excellent compensation in USD or local currency if preferred.
• Paid parental leave, vacation, and national holidays.
• Innovative and multicultural work environment.
• Collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and growth opportunities.