Description

You will design and operate cloud-native streaming data pipelines at scale.

This role is on-site.

Responsibilities

• Architect and optimize AWS data infrastructure using Infrastructure as Code.
• Develop and maintain real-time streaming systems with low latency and high scalability.
• Implement monitoring for data loss and enforce strict data quality controls.
• Ensure operational reliability and performance of production data systems.
• Optimize SQL queries and apply relational database concepts across big data environments.

Required Skills

• 8+ years of experience designing and developing streaming data pipelines.
• 5+ years in cloud-native real-time streaming ecosystems (Spark, Flink, Kafka, Kinesis, Lambda).
• 5+ years optimizing AWS data architecture and deployment automation.
• 5+ years of development experience in Scala, PySpark, or Python.
• Experience with containerization tools: Docker, Kubernetes, and Helm.
• Solid knowledge of SQL and relational database concepts.
• Hands-on experience with Databricks.
• Familiarity with Java.

Preferred Skills

• Experience with Java in data system development.

Key Skills

Education

Any Gradute