Data Platform Engineer - Assistant Vice President

Publix Serving (Civica)

Pune, Maharashtra, India
On-site
Java and related technologies (apache flink, kafka, trino)
Real-time and batch data processing
Event-driven architectures
Citi is seeking a Data Platform Engineer at the Assistant Vice President level to join their team in Pune, India. The role involves designing and maintaining a high-performance data platform using technologies like Java, Kafka, and Apache Flink, while collaborating with team members and adhering to Agile methodologies

Job Summary

  • Design, develop, and maintain a high-performance platform for streaming data pipeline and analytics using cutting-edge technologies.
  • Advise data engineers on how to build and optimize real-time and batch data processing applications to support low-latency requirements.
  • Collaborate effectively with other engineers, product managers, and stakeholders throughout the software development lifecycle (SDLC), adhering to Agile methodologies.

Matching Summary

Match Score: 85

Citi is seeking a Data Platform Engineer at the Assistant Vice President level to join their team in Pune, India. The role involves designing and maintaining a high-performance data platform using technologies like Java, Kafka, and Apache Flink, while collaborating with team members and adhering to Agile methodologies.

Skills & Requirements

Must-have

  • Java and related technologies (Apache Flink, Kafka, Trino)
  • Real-time and batch data processing
  • Event-driven architectures
  • Clean, well-documented, testable code
  • Agile methodologies

Nice-to-have

  • Agentic coding assistants
  • Cloud environment experience (AWS, GCP)
  • Open-source project contributions

Key Requirements

  • Minimum 5 years of experience
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • Core Java (version 11 or higher)
  • SQL and database APIs
  • Distributed stream processing frameworks (Apache Flink, Spark Streaming, Kafka Streams)
  • Event-driven architectures and real-time data processing
  • OOP concepts, multithreading, and thread pools

Work Rights

Not specified

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