Description

Design and maintain scalable data architectures and pipelines for large-scale distributed systems.

This role is on-site.

Responsibilities

• Design scalable data architectures and Common Data Models (CDM) for standardization.
• Build and maintain batch and real-time data pipelines using Spark and Flink.
• Manage large-scale data systems using Apache Iceberg, Kafka, and BigQuery.
• Optimize data processing workflows for performance and scalability.
• Mentor junior engineers and establish best practices for coding and architecture.

Required Skills

• 8+ years of experience in data engineering or big data roles.
• Strong expertise in Scala, Apache Spark, and Flink.
• Experience designing ETL pipelines and large-scale data processing systems.
• Deep understanding of data modeling and distributed systems.
• Proficiency with Kafka and Apache Iceberg.
• Familiarity with BigQuery and cloud data platforms.
• B.E. or B.Tech degree.

Key Skills

Education

Any Graduate