smart-working-solutions - Smart Working Solutions - Software / Data Engineer (AWS & Python), (Remote, Part-Time) [IS007]
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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. • Experience supporting analytics dashboards or client-facing reporting platforms. • Experience optimising AWS Lambda and API Gateway performance. • Familiarity with serverless architecture patterns. • Experience working with SFTP-based ingestion pipelines. • Exposure to modern frontend technologies and dashboard tooling. • Experience in modernising or consolidating legacy systems. • Familiarity with automotive, insurance, telematics, or analytics-related data platforms. • Experience improving observability, monitoring, and operational reliability across cloud systems.
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. • Work independently to identify platform improvements and deliver pragmatic solutions. • Use AI tools and automation to improve engineering productivity and operational efficiency.
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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