Manager, Data Engineering

Tasks

• Build real-time data processing systems
• Collaborate with product managers data scientists stakeholders
• Coordinate resource allocation and work prioritization
• Define data governance infrastructure strategy
• Design scalable metadata management solutions
• Lead data tools engineering team
• Manage agile ceremonies and delivery tracking
• Mitigate technical and operational risks
• Own data engineering best practices and security protocols

Perks/Benefits

• Flexible working hours
• Hybrid work schedule
• Life insurance
• Parental leave
• Private health insurance
• Training and development budget
• Vacation leave
• Work-life balance

Skills/Tech-stack

API Design | Agile Development | BigQuery | CI/CD | Cloud Storage | Cloud platform | Confluence | Data Ingestion | Data Lake | Data Lake Architecture | Data Security | Deployment Automation | Fault-tolerant | Fault-tolerant systems | Google Cloud | Google Cloud Platform | High Availability | Infrastructure as Code | Jira | Kanban | Microservices | Real Time | Real-time Data | Real-time data ingestion | Scrum | Snowflake | “as-code”