Description

You will own the design and maintenance of large-scale data infrastructure and processing pipelines.

Responsibilities

• Design and implement robust data processing pipelines to handle high-volume ingestion and transformation.
• Architect and manage large-scale data systems, ensuring scalability and performance.
• Maintain data integrity and availability across distributed systems.
• Optimize data workflows to improve efficiency and reduce latency.

Required Skills

• 8+ years of professional experience in Big Data engineering.
• Deep expertise with Big Data technologies and frameworks (e.g., Hadoop, Spark, Kafka).
• Strong background in building and maintaining data infrastructure.
• Ability to design efficient data workflows and processing logic.
• Experience with data modeling and large-scale system architecture.
• Proficiency in data integrity and availability management.
• Graduate degree in any field.

Key Skills

Education

Any Graduate