Software/Data Engineer – AWS, Python

Smart Working

Hands-on Software / Data Engineer owning cloud-based data platform at Smart Working. Working on AWS infrastructure and data analytics for EV repair cost intelligence.

Posted 5/18/2026full-timeRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonSQLAWSETLdata pipelinesdata transformationsbackend APIsdata quality validationcloud-based systemsAI-assisted development tools

Soft Skills

problem-solvingownershipcommunicationcollaborationpragmatic engineering mindsetadaptabilityindependencetroubleshootingimprovement initiativesoperational efficiency