Databricks05.02.2025
Senior Technical Solutions Engineer (Platform)
Зарплата не указана
РЫНОК
15 000 ₽медиана по профессии
Solution Architect · 11 вакансий с указанной зарплатой
7 556половина предложений: 15 000–18 258500 000
Работодатель не указал зарплату — сравните с рынком сами.
Bengaluru
Навыки
Databricks Data Intelligence platformApache SparkAWSAzureGCPData pipelinesDistributed computingUnix/Linux administrationDevOps practicesLog analysisMonitoring toolsHadoopKafkaNoSQL databasesAutomation toolsCI/CD pipelinesData governanceCompliance requirements
Обязанности
- 01Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform
- 02Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability
- 03Engage with customers directly to understand their technical issues and requirements
- 04Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly
- 05Conduct thorough root cause analyses and develop preventive measures to avoid recurrence
- 06Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform
- 07Create and maintain detailed documentation on support procedures, known issues, and solutions
- 08Contribute to internal knowledge bases and create training materials to assist other support engineers
- 09Monitor and analyze platform performance metrics to identify potential issues before they impact customers
- 10Implement optimizations and enhancements to improve platform stability and efficiency
- 11Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity
- 12Stay abreast of industry trends and advancements in Databricks technology
- 13Propose and drive initiatives to enhance platform capabilities and support processes
- 14Collect and analyze customer feedback to drive continuous improvement in support processes and platform features
Требования
- 01Minimum of 7 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies
- 02A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential
- 03Strong capabilities in designing and managing data pipelines, distributed computing are required
- 04Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization
- 05Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach
- 06Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders
- 07Proven experience in managing high-impact customer interactions and ensuring a positive customer experience
- 08Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams
- 09Bachelor’s degree in Computer Science, Engineering, or a related field
- 10Advanced degree or relevant certifications are highly desirable
Условия
- 01Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company
- 02Career Growth: Opportunities for professional development and career advancement
- 03Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement
- 04Comprehensive benefits and perks that meet the needs of all of our employees