Real-Time Platform Software Engineer

Data Engineer - Real-Time Platform

You will be responsible for designing, developing, and deploying cutting-edge data engineering solutions that drive business value at scale. As a key member of our team, you will work on highly scalable data pipelines and platforms, leveraging your expertise in computer science fundamentals to create efficient and effective data systems.

Key Responsibilities
• Design, build, test, and deploy high-performance data pipelines that extract, transform, and load data in real-time platforms using Kafka Streaming.
• Develop scalable and secure data architectures that meet the needs of millions of customers worldwide.
• Perform root cause analysis on data and processes to identify opportunities for improvement and answer specific business questions.
• Build and optimize Kafka/Spark/Big Data data pipelines, architectures, and datasets involving petabytes and terabytes of data.

Requirements
• 3-6 years of experience in design and development of highly-scalable applications and platform development.
• Strong computer science fundamentals: data structures, algorithms, design patterns.
• Expert-level experience in building Micro-services, ability to build REST services using Java, Spring Boot.
• Experience on Cloud Architecture, Micro-services Architecture, and container technologies (Docker, Kubernetes, etc.).
• Hands-on experience with event-based system processing such as Kafka.
• Experience in deploying solutions on cloud platforms (Azure, GCP).
• Able to balance long-term big picture and short-term implications of design decisions.
• Exceptional communication and interpersonal skills.