Description

You will design, build, and operate high-volume, low-latency streaming data pipelines and cloud-native architectures.

This role is on-site.

Responsibilities

• Develop and maintain real-time streaming data systems with a focus on scalability and data quality.
• Design AWS data system architectures, including Infrastructure as Code and deployment automation.
• Implement monitoring solutions to ensure operational reliability and prevent data loss in production.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Optimize SQL queries and manage data persistence using relational and NoSQL databases.

Required Skills

• 8+ years of experience designing and developing streaming data pipelines.
• 5+ years with Kafka, Spark, Flink, or Kinesis in a real-time ecosystem.
• 5+ years developing in Scala, Py-Spark, Python, or Java.
• 5+ years building systems on AWS native services.
• Experience with Docker, Kubernetes, and Helm for application deployment.
• Solid knowledge of SQL and Big Data NoSQL technologies.
• Experience with Databricks or similar Lakehouse platforms.
• Strong understanding of data structures and algorithms.

Key Skills

Education

Any Gradute