Чем предстоит заниматься
In the area of Operational Excellence
Troubleshooting user issues related to Databricks (Spark) and suggesting optimizations for long-running or resource-intensive jobs
Guiding users on best practices of Databricks cluster management
Consult and help our diverse teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systems
In the area of Delivering New Features
Implementing services that improve the CI/CD experience of users by emphasizing self-service
Working together with other teams in Customer’s Data Infrastructure to deliver services that serve as a backbone for Customer’s central datalake
In the area of Compliance & Security
Improving data access methods to provide bulletproof, secure and by default compliant self-service platform
In the area of Cost Savings
Guiding users and supporting them to find cost-effective setups while keeping high efficiency
Implementing observability solutions in Databricks to reduce slack costs
Driving users to adopt edge Databricks features like Photon and Graviton instances
Reviewing current infrastructure to find cost-saving opportunities
Analyzing, designing and developing solutions in an Agile team to support essential business needs for the platform search application