Scala
2 weeks ago
**Job Summary**
**Responsibilities**
- Lead the development and optimization of data processing systems using Spark in Scala.
- Oversee the design and implementation of scalable and efficient data pipelines.
- Provide technical expertise in Spark to ensure high performance and reliability.
- Collaborate with cross-functional teams to integrate data solutions with existing systems.
- Ensure code quality and maintainability through code reviews and best practices.
- Develop and maintain documentation for data processing systems and workflows.
- Troubleshoot and resolve issues related to data processing and performance.
- Stay updated with the latest industry trends and technologies to drive innovation.
- Mentor and guide junior developers to enhance their technical skills.
- Participate in project planning and provide accurate time estimates for development tasks.
- Contribute to the continuous improvement of development processes and methodologies.
- Work closely with stakeholders to understand and meet their data processing needs.
- Ensure compliance with data security and privacy regulations in all development activities.
**Qualifications**
- Possess a strong background in Spark in Scala with proven experience in developing data processing systems.
- Have a good understanding of the Devices domain and its specific data requirements.
- Demonstrate excellent problem-solving skills and the ability to troubleshoot complex issues.
- Exhibit strong communication skills to effectively collaborate with cross-functional teams.
- Show a commitment to continuous learning and staying updated with industry trends.
- Have experience in mentoring and guiding junior developers.
- Be detail-oriented and focused on delivering high-quality maintainable code.
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