Hybrid Staff Data Engineer bei Coupang

Technical Leadership

• Architect and design scalable, enterprise-grade data solutions
• Define technical standards and best practices for data engineering
• Lead system design reviews and architectural decisions
• Establish data modeling standards and governance frameworks

Strategy & Innovation

• Drive technical vision for data platforms and infrastructure
• Evaluate and recommend new technologies and approaches
• Create roadmaps for data architecture evolution
• Lead POCs for emerging technologies and frameworks

Team Leadership

• Mentor senior data engineers and technical teams
• Drive technical excellence across multiple teams
• Collaborate with cross-functional stakeholders
• Lead complex, multi-team technical initiatives

Qualifications

Technical Expertise

• 12+ years of data engineering experience
• Deep expertise in distributed systems and big data technologies
• Advanced knowledge of cloud platforms (AWS/Azure/GCP)
• Strong background in data modeling and architecture

Technology Stack

• Big Data: Hadoop, Spark, Kafka
• Databases: SQL, NoSQL, Data Warehouses
• Languages: Python, Scala, Java
• Cloud: AWS EMR, Redshift, Snowflake
• ETL/ELT tools and frameworks

Leadership

• Proven experience leading large-scale data initiatives
• Track record of mentoring and growing engineering teams
• Excellence in technical communication and documentation
• History of driving architectural decisions

Preferred Qualifications

• Experience with real-time data processing systems
• Contributions to open-source projects
• Patents or published papers in relevant fields
• Knowledge in ML,AI and Data science

Key Competencies

Technical

• System design and architecture
• Performance optimisation
• Data security and governance
• CI/CD and DevOps practices

Leadership

• Strategic thinking
• Problem-solving
• Team mentorship
• Stakeholder management

Impact & Scope

• Drive technical excellence across the organization
• Shape the future of our data platform
• Lead strategic technical initiatives
• Influence product and technology decisions