Aunque la experiencia profesional y las cualificaciones son principal para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren.
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 systems and workstreams.
- Ensure the performance, scalability, and reliability of data processing applications.
- Troubleshoot and resolve complex technical and performance issues.
- Collaborate with technical and functional stakeholders to define and implement solutions.
- Promote Agile development practices and contribute to CI/CD and DevOps processes.
- Mentor and support junior and mid-level developers, sharing best practices and technical knowledge.
- Explore and promote the adoption of emerging technologies, including AI-assisted development and automation.
Qualifications
Required Skills & Experience
- 5+ years of hands‑on experience developing Big Data solutions with Apache Spark.
- Strong experience programming in Scala (preferred) or Python.
- Solid SQL skills and experience with data modeling.
- Experience working with Big Data platforms such as:
- Azure Databricks
- Apache Hive
- or similar Spark-based