Description

Key Skills: Scala, Apache Spark, Flink, Data Engineering, ETL, Data Modeling, Apache Iceberg, Kafka, BigQuery, Distributed Systems

Roles & Responsibilities:

• Design scalable data architectures to solve complex business problems
• 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 modern data stack technologies like Apache Iceberg and Kafka
• Optimize data processing workflows for performance and scalability
• Collaborate with business and engineering teams to translate requirements into technical solutions
• Ensure high data quality, consistency, and reliability across systems
• Provide technical mentorship and set best practices for coding and architecture
• Work with cloud platforms and tools like BigQuery for data storage and analytics
• Continuously improve data infrastructure and engineering processes

Experience Required:

• 8 - 11 years of experience in data engineering or big data roles
• Strong expertise in Scala, Apache Spark, and Flink
• Experience in 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
• Strong problem-solving and analytical skills
• Experience mentoring junior engineers and driving technical excellence

Education: B.E., B.Tech

Key Skills

Education

Any Graduate