Description

Design and maintain scalable data architectures and pipelines using Scala, Apache Spark, and Flink.

This role is on-site.

Responsibilities

• Develop and implement Common Data Models (CDM) for data standardization.
• Build and maintain batch and real-time data pipelines using Spark and Flink.
• Manage large-scale data systems using Apache Iceberg and Kafka.
• Optimize data processing workflows for performance and scalability.
• Ensure high data quality, consistency, and reliability across systems.

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.
• Strong understanding of data modeling and distributed systems.
• Experience with Kafka, Apache Iceberg, and modern data platforms.
• Familiarity with cloud platforms and BigQuery.
• B.E. or B.Tech degree.

Key Skills

Education

Any Graduate