Software Engineer (Data Platform)

New
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
4–6 years
Required Skills
AWSPythonETLJavaKafkaGoSparkLinux

Requirements

  • 4–6 years of professional software engineering experience building scalable backend or data-intensive systems.
  • Strong experience in cloud-native development, particularly on AWS environments.
  • Proficiency in Java and GoLang, with working knowledge of Python.
  • Hands-on experience with large-scale data platforms, including data lake ingestion, storage, and query systems.
  • Experience working with distributed systems and streaming technologies such as Kafka and Apache Spark.
  • Familiarity with Apache Hudi is highly preferred, along with AWS services such as EKS, S3, Glue, and Athena.
  • Strong understanding of system design principles including APIs, authentication, messaging, logging, monitoring, and testability.
  • Experience with large-scale ETL pipelines and data processing workflows.
  • Strong Linux/Unix troubleshooting skills in distributed cloud environments.
  • Bachelor’s degree in Computer Science or related field.

Responsibilities

  • Design, build, and enhance scalable data frameworks and backend services powering next-generation platform capabilities in a large distributed environment.
  • Develop and optimize high-throughput data pipelines for ingestion, processing, storage, and querying of security-related data at scale.
  • Participate in architecture discussions, technical design reviews, and planning sessions with engineering and architecture teams.
  • Collaborate with operations and site reliability teams to ensure systems are production-ready, observable, resilient, and maintainable.
  • Contribute to platform evolution by improving standards around performance, security, reliability, and operational excellence.
  • Support development of frameworks enabling advanced analytics and automated threat detection capabilities.
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