Data Engineer - (django Must- Big Data Platform)

PayU Payments Private Ltd

Bangalore, India
On-site
Python django/flask api development
Sql querying and rdbms understanding
Big data tools and distributed systems
Building, maintaining, and monitoring sustainable infrastructure with a focus on developing and maintaining high-volume, low-latency data platforms using latest opensource frameworks, highly available RESTful services, and back-end Cloud based/open source systems

Job Summary

  • Building, maintaining, and monitoring sustainable infrastructure with a focus on developing and maintaining high-volume, low-latency data platforms using latest opensource frameworks, highly available RESTful services, and back-end Cloud based/open source systems.
  • Execute day to day operation of the data platform to ensure top-notch performance of data platform systems for customer-facing applications and work on features to make the data Platform more robust and resilient.
  • Highly collaborative with a strong belief in continuous improvement and ability to stay focused and calm in a fast-paced environment.

Matching Summary

Building, maintaining, and monitoring sustainable infrastructure with a focus on developing and maintaining high-volume, low-latency data platforms using latest opensource frameworks, highly available RESTful services, and back-end Cloud based/open source systems.

Skills & Requirements

Must-have

  • Python Django/Flask API development
  • SQL querying and RDBMS understanding
  • Big data tools and distributed systems
  • Cloud computing platforms (AWS/Azure/GCP)
  • Docker and Airflow orchestration
  • Building high-volume, low-latency data platforms

Nice-to-have

  • Continuous improvement mindset
  • Calm in fast-paced environment
  • Monitoring and logging frameworks
  • Scalable compute solutions
  • Kubernetes container orchestration
  • Code-as-Infrastructure/Pipeline-as-Code

Key Requirements

  • 2.5-5 years of experience
  • BE/B-Tech/BS/Meng/MSc in computer science
  • Platform infrastructure experience
  • Automation experience
  • Big Data Engineering practices understanding

Work Rights

Not specified

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