Getinz

Principal Engineer, Data Platform

Getinz

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Lead

Tech Stack

AWSCloudDistributed SystemsGoGoogle Cloud PlatformGRPCJava

About the role

  • Lead design and development of next-generation data pipelines enabling near real-time ingestion and processing of massive datasets.
  • Architect and build scalable, fault-tolerant, low-latency data pipelines for real-time/near real-time processing.
  • Partner with cross-functional teams to design innovative solutions for complex data and security problems.
  • Evaluate, adopt, and contribute to open-source technologies that enhance the data platform ecosystem.
  • Influence product and engineering teams by providing guidance on architecture and platform best practices.
  • Act as a thought leader, driving technical direction and innovation within the data engineering domain.
  • Collaborate with global teams and strengthen technical and architectural depth.

Requirements

  • More than 12 years of experience.
  • Extensive experience architecting and scaling real-time/near real-time data systems.
  • Strong analytical and problem-solving skills, with ability to simplify complex technical challenges.
  • Deep expertise in distributed systems, concurrency, and performance optimization.
  • Proficiency in Golang, Java, or similar languages.
  • Solid understanding of gRPC streaming, serialization formats (Protobuf, Avro), and distributed security models (TLS, authentication, authorization).
  • Hands-on experience with distributed object storage (S3, GCS) and data formats (Parquet, Iceberg), including optimization for scale and performance.
  • Strong background in cloud-native data infrastructure (AWS, GCP, etc.).
  • Excellent communication skills and proven ability to influence and align teams globally.