Software/Data Engineer
New
Chennai; Cochin; Gurgaon; Kochi; Kolkata; Mumbai; India, 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2–5+ years
- Required Skills
- AWSPythonSQLETLAWS Lambda
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.
Responsibilities
- 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.
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