ironquill.tech/board

$ cat jobs/senior-backend-spark-developer-talan-af1ecb5b6a8c.json

Senior Backend Spark Developer

Talan·Worldwide·Remote·senior
spark
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Join Us! Why Talan? For the 4th consecutive year , Talan Spain has been recognized as a Great Place to Work ! 🎉 This year, we’re also celebrating our 2nd certification in Poland , a significant milestone since opening our office there. Talan is an international advisory group specializing in innovation and transformation through technology, with 5,000 employees and an annual turnover of 600M€. We offer our customers a continuum of services to support them at each key stage of their organization's transformation, with four main activities: CONSULTING in Management and Innovation: Supporting business, managerial, cultural, and technological transformations. DATA & TECHNOLOGY: Implementing major transformation projects. CLOUD & APPLICATION SERVICES: Building or integrating software solutions. SERVICE CENTERS of EXCELLENCE: Providing technology, innovation, agility, sustainability of skills, and cost optimization. Talan accelerates its clients' transformation through innovation and technology. By understanding their challenges and supporting them with technology, innovation, and data , we enable them to be more efficient and resilient. About the Role We are looking for a Senior Backend Spark Developer to join the Client Contribution Platform team. In this role, you will be responsible for designing, developing, and optimizing large-scale data processing solutions while driving technical decisions and ensuring the scalability, reliability, and performance of the platform. As a senior team member, you will play a key role in mentoring other developers, collaborating with cross-functional teams, and contributing to the continuous improvement of the platform and its architecture. Key Responsibilities Design, develop, and optimize scalable Big Data solutions using Apache Spark. Lead technical decisions and contribute to the architecture of data processing solutions. Develop, maintain, and optimize Big Data pipelines. Support data integration initiatives across multiple syst

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