Data Scientist

Technologies Used (in general)

• Cloud-based Data Warehouse
• Ingestion Framework for data integration
• Data Modeling & Transformation Tools
• Workflow Scheduler for automated data processing
• Metadata & Lineage Management Systems
• Monitoring & Alerting tools for data freshness and error detection
• Version Control & CI/CD Pipeline

Qualifications

• Holds at least a Bachelor&aposs degree in Computer Science or IT
• Has a minimum of 2 years of experience using SQL, Bash scripting, and Python or similar programming languages
• Experienced with cloud-based data warehouse systems
• Proficient in SQL & Python for data processing needs
• Understands the concept of data workflow orchestration
• Has experience managing data integration from various sources (databases, APIs, files)
• Familiar with metadata concepts, data lineage, and data asset documentation management
• Comfortable working with version control systems (Git) and deployment pipelines
• Experienced in managing and operating data platforms end-to-end (from ingestion, transformation, storage, analytics, to visualization)
• Has experience managing Kubernetes clusters