Job Description

Roles and Responsibilities

  • Design, build, and maintain backend data engineering solutions using Python and distributed computing frameworks.
  • Develop and manage real-time streaming pipelines using Kafka or similar technologies.
  • Implement and optimize Spark / PySpark workflows for large-scale data processing.
  • Work with cloud-native technologies such as Kubernetes for containerized deployments.
  • Design and implement CI/CD pipelines and DevOps processes to enable smooth application delivery.
  • Collaborate directly with end users to understand functional requirements and translate them into robust technical solutions.
  • Work extensively with RDBMS and NoSQL database technologies for data modeling and processing.
  • Collaborate with global engineering teams to deliver high-quality, scalable solutions.
  • Conduct analysis of complex technical problems and propose efficient solutions.
  • Ensure high code q...

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