- Design and implementation of the data driven initiatives such as Big Data analytics application development and architecture using Hive, Python/Java, AWS
- Understanding business requirements and converting them to technical solutions. Create ETL platforms to take data from various upper stream locations and create a unified dimensional or star schema data model for analytics and reporting.
- Collaborate with Devops and Operation team to setup highly distribute large scale and high-performance data platform systems
- Collaborate with other engineers to formulate innovative solutions to experiment and implement advanced data algorithms
- Background in SQL
- Strong coding skills in Java, Python
- Experience with Hadoop, Hive strong plus
- Experience with building and optimizing large scale and high-performance systems
- Knowledge in AWS, Yarn, Kubernetes, Docker, Airflow
- Good collaboration and communication skills within and across teams.
- S. or M.S. in Computer Science or a related field
- At least 3 years data engineer or platform engineer experience