Define, implement, and enforce architecture patterns and design principles to ensure that the platform is scalable, high-performance, reliable, and easy to use.
Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications
Develop data models and architecture for end-to-end data pipelines both streaming and batch.
Optimize and scale our data platform product across multiple teams in LMWN
Enable and support data engineers to optimize and improve ETL process by providing monitoring and tracking system
Work closely with cross-functional teams, including data scientists, analysts, product managers, and software engineers to drive value for our customers and business partners.
Manage continuous deployment, monitoring, and maintenance of the data streaming platform in production and testing environments.
What you will need:
Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
