Software/Data Engineer – AWS, Python

Job Description:

  • Own and maintain cloud-based data pipelines and backend systems across the AWS stack.
  • Run and support monthly ingestion and processing workflows using AWS services such as S3, Lambda, Glue, Athena, and Step Functions.
  • Maintain and improve the Python codebase, dependencies, and backend services.
  • Support and enhance the client-facing analytics dashboard and API delivery layer.
  • Perform data quality validation, troubleshooting, and issue resolution across the platform.
  • Improve API performance, scalability, and reliability.
  • Help redesign and modernise data structures and vehicle make/model mapping systems.
  • Support the productionisation of a cloud-based repair database.
  • Reduce technical debt and improve engineering standards across the stack.
  • Integrate and manage third-party data providers and ingestion workflows.
  • Work independently to identify platform improvements and deliver pragmatic solutions.
  • Use AI tools and automation to improve engineering productivity and operational efficiency.

Requirements:

  • 2–5+ years of experience in software engineering, data engineering, or backend engineering roles.
  • Strong Python development experience in production environments.
  • Experience working with AWS cloud services, particularly S3, Lambda, Glue, Athena, and Step Functions.
  • Strong SQL skills and experience working with large datasets and data transformations.
  • Experience building and maintaining data pipelines and ETL workflows.
  • Experience working with backend APIs and cloud-based systems.
  • Comfortable working across backend engineering, infrastructure, and data processing.
  • Strong problem-solving skills with a pragmatic engineering mindset.
  • Ability to take ownership of systems end-to-end, including maintenance, troubleshooting, and improvement initiatives.
  • Comfortable operating in a fast-moving environment with evolving priorities.
  • Experience using AI-assisted development tools such as ChatGPT, Claude, Cursor, or Copilot to improve productivity and automate workflows.
  • Strong communication and collaboration skills.

Benefits:

  • Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
  • No Weekend Work: Real work-life balance, not just words
  • Day 1 Benefits: Laptop and full medical insurance provided
  • Support That Matters: Mentorship, community, and forums where ideas are shared
  • True Belonging: A long-term career where your contributions are valued
  • 5-Day AI Training: Hands-on AI Academy onboarding to get you building with AI from day one
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