Чем предстоит заниматься
Adopt AI assisted engineering practices to improve code quality and delivery
Architect and refine data models for large scale datasets
Author review and approve technical requirements and architecture
Define and execute enterprise data strategy
Drive data quality initiatives and data accessibility for analytics
Ensure data governance and regulatory compliance
Establish secure coding peer review and automated testing standards
Improve data infrastructure processing workflows and analytics capabilities
Lead design development maintenance of cloud data processing pipelines
Lead process re engineering for cost effective solutions
Manage end to end data infrastructure
Support incident root cause analysis and troubleshooting
Translate business requirements into scalable data engineering solutions
Use software development lifecycle toolchain for automation