The company is looking to build the future of commerce and needs a technical leader to drive data architecture and engineering efforts.
Requirements
- 8+ years of experience working on Bigdata with deep understanding of data modeling, data architecture, and data warehousing
- Strong hands-on experience in distributed processing using Scala/Spark, PySpark, and Hive
- Extensive experience Bigdata Platform, Data Warehousing concepts and languages (SQL, NoSQL) and MPP database such as Redshift
- Hands-on experience with AWS Cloud Computing platforms and understanding of scalability and reliability issues
- Hands-on experience in one or more programming languages such as Java, Scala, Python or similar languages
- Experience in collaborating with cross-functional teams to define mission, vision, and roadmaps
- Experience in e-commerce Data products
Responsibilities
- Serve as a technical leader and exert technical influence over multiple teams
- Work closely with Business analyst across business domains to identify data needs and core KPI’s
- Define foundational core data models across different business domains
- Design and build Coupang's next generation Data Lake, and Data Warehouse
- Design and build reliable data pipelines using modern distributed processing technologies
- Foster, mentor, and enforce industry best practices in data architecture, design patterns, big data platform, storage, distributed compute and coding standard
Other
- Bachelor's degree and/or Master's degree in Computer Science or equivalent
- Problem solver, Pragmatic and Open-minded
- Experience with handling large data volumes in a distributed environment
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of the Paid Time Off (PTO) a year based on the tenure
- 12 Public Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV - [Free] Electric Car Charging Station
