Work Experience: 9+ years
Work Mode: Hybrid (2 days WFO)
Work Location: Chennai and Mumbai
Job Description
:
Key Responsibilities & Expectatio
- nsDesign, develop, and support scalable data engineering solutions with strong focus on automation, data quality, scripting, and production readines
- s.Apply proper AI knowledge to understand modern AI models and AI-assisted development tools, including prompts, tokens, context windows, reasoning behaviour, model responses, and practical integration points within data engineering workflow
- s.Develop and maintain Python coding and scripting solutions for automation, data validation, file processing, and reusable engineering utilitie
- s.Drive automation initiatives to reduce manual effort, improve repeatability, strengthen controls, and accelerate data processing workflow
- s.Perform Unix-based scripting, scheduling support, file handling, log analysis, and operational troubleshooting across data engineering environment
- s.Contribute to Spec Kit development by building, enhancing, validating, and maintaining specification-driven data processing component
- s.Ensure strong data quality through validation rules, reconciliation checks, exception handling, root cause analysis, and continuous monitorin
g.Must-Have Skills & Experien
- ce7–8 years of experience as a Senior Data Engineer or Data Engineer in technical, data-driven environment
- s.Strong technical orientation with hands-on understanding of complex systems, data flows, batch processes, pipelines, and integration pattern
- s.Proper AI model and AI-assisted coding knowledge with ability to understand how large language models, including prompts, tokens, context windows, reasoning modes, code suggestions, model limitations, and practical data engineering use case
- s.Strong Python coding and scripting experience for automation, data processing, data quality checks, file handling, reusable utilities, and operational suppor
- t.GitHub Copilot exposure for AI-assisted Python coding, script generation, code review support, debugging help, unit test creation, documentation, and developer productivity improvemen
- t.Hands-on Unix experience including shell scripting, command-line operations, file transfers, scheduling support, log review, and troubleshootin
- g.Proven hands-on exposure to data quality concepts, validation frameworks, reconciliation processes, exception handling, and defect prevention practice
- s.AI model and GitHub Copilot awareness, including how prompts are interpreted, how context windows affect outputs, how responses and code suggestions are generated, and how data quality impacts AI-assisted automatio
- n.Automation-focused engineering mindset with experience creating scripts, reusable components, monitoring checks, and repeatable operational processe
- s.Experience in Spec Kit development, including specification interpretation, component build, testing, validation, and maintenance of data processing logi
- c.DevOps awareness with exposure to version control, CI/CD concepts, deployment readiness, environment configuration, monitoring, and production support practice
- s.Excellent written and verbal communication skills, with strong documentation capabilitie
s.
