Description

You will design and oversee the architecture of large-scale data platforms, ensuring distributed processing systems and real-time workflows are robust and performant.

This role is hybrid.

Responsibilities

• Architect distributed data processing systems using big data technologies.
• Design streaming data pipelines and real-time processing workflows.
• Manage large-scale storage and data warehousing structures.
• Optimize data ingestion and processing performance across the platform.

Required Skills

• 5+ years of experience in data architecture or engineering.
• Hands-on expertise with Apache Kafka for event streaming.
• Experience with Apache Flink for stream processing.
• Proficiency in Apache Cassandra for distributed storage.
• Deep knowledge of Hadoop, Hive, and Pig ecosystems.
• Strong experience with Apache Spark for large-scale data processing.
• Proficiency in Java or Scala.

Preferred Skills

• Bachelor's degree in any field.

Key Skills

Education

Any Graduate