Senior Backend Spark Developer
Summary
Design and optimize large-scale data pipelines using Apache Spark and Scala/Python to build high-performance financial data processing systems in a collaborative Agile environment.
Experteer Overview
Compruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible.
As a Senior Backend Spark Developer, you will design, develop, and optimize large-scale data processing solutions to support transformative projects. You’ll shape the data platform alongside cross-functional teams and mentor more junior developers. The role focuses on scalable, reliable, and high-performance data pipelines within a collaborative Agile environment. You’ll help drive architectural decisions and explore AI-assisted development to push the platform forward.
Compensaciones / Beneficios
• Design, develop, and optimize scalable Big Data solutions using Apache Spark
• Lead technical decisions and contribute to data processing architecture
• Develop, maintain, and optimize Big Data pipelines
• Support data integration across multiple systems and workstreams
• Ensure performance, scalability, and reliability of data processing applications
• Troubleshoot and resolve complex technical and performance issues
• Collaborate with stakeholders to define and implement solutions
• Promote Agile practices and contribute to CI/CD and DevOps processes
• Mentor junior/mid-level developers and share best practices
• Explore and promote AI-assisted development and automation
Responsabilidades
• 5+ years of hands-on experience with Apache Spark
• Strong experience in Scala (preferred) or Python
• Solid SQL skills and data modeling
• Experience with Spark-based environments (Azure Databricks, Apache Hive)
• Experience in Agile environments and CI/CD/DevOps xqbhyrx practices
• Hands-on experience with Git, GitHub, SonarQube, Nexus
• Strong analytical and problem-solving skills
• Proactive, independent, ownership-driven mindset
• Experience mentoring team members
• English level B2+ or above
Requisitos principales
• permanent, full-time contract
• career development opportunities
• international, multicultural environment
• exposure to large-scale financial IT systems
• training opportunities in finance, technology, and data management
Compruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible.
As a Senior Backend Spark Developer, you will design, develop, and optimize large-scale data processing solutions to support transformative projects. You’ll shape the data platform alongside cross-functional teams and mentor more junior developers. The role focuses on scalable, reliable, and high-performance data pipelines within a collaborative Agile environment. You’ll help drive architectural decisions and explore AI-assisted development to push the platform forward.
Compensaciones / Beneficios
• Design, develop, and optimize scalable Big Data solutions using Apache Spark
• Lead technical decisions and contribute to data processing architecture
• Develop, maintain, and optimize Big Data pipelines
• Support data integration across multiple systems and workstreams
• Ensure performance, scalability, and reliability of data processing applications
• Troubleshoot and resolve complex technical and performance issues
• Collaborate with stakeholders to define and implement solutions
• Promote Agile practices and contribute to CI/CD and DevOps processes
• Mentor junior/mid-level developers and share best practices
• Explore and promote AI-assisted development and automation
Responsabilidades
• 5+ years of hands-on experience with Apache Spark
• Strong experience in Scala (preferred) or Python
• Solid SQL skills and data modeling
• Experience with Spark-based environments (Azure Databricks, Apache Hive)
• Experience in Agile environments and CI/CD/DevOps xqbhyrx practices
• Hands-on experience with Git, GitHub, SonarQube, Nexus
• Strong analytical and problem-solving skills
• Proactive, independent, ownership-driven mindset
• Experience mentoring team members
• English level B2+ or above
Requisitos principales
• permanent, full-time contract
• career development opportunities
• international, multicultural environment
• exposure to large-scale financial IT systems
• training opportunities in finance, technology, and data management