Full Stack Engineer

Qvanto AI

Chennai District

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A leading technology firm in Chennai is seeking a Full Stack Engineer specialized in Data Platform & Analytics. The ideal candidate will have over 5 years of experience in building data-driven platforms, strong expertise in Microsoft Azure, and proficiency in developing secure, scalable REST APIs. This role involves optimizing data querying, implementing ETL/ELT pipelines, and ensuring data governance within enterprise security frameworks. Competitive compensation and opportunities for professional development are included.

Qualifications

  • Minimum 5+ years of experience in full stack development for data-driven platforms.
  • Strong hands-on experience with Microsoft Azure and secure REST APIs.
  • Experience with ETL/ELT pipeline implementation and data governance.

Skills

Microsoft Azure
REST API Development
ETL/ELT Pipelines
Data Governance
MySQL
MongoDB
CI/CD Pipelines

Job description

Overview

Full Stack Engineer – Data Platform & Analytics (5-8 Years)

Experience

Minimum 5+ years of professional experience in full stack development for enterprise or data-driven platforms.

Primary Skills (Mandatory)
  • Strong hands-on experience with Microsoft Azure, including:
  • Starburst Enterprise / Trino (Presto) for federated data querying and performance optimization
  • Design and development of secure, scalable REST APIs
  • Implementation of ETL / ELT pipelines using
  • Experience building data lineage and governance systems across Azure Data Lake and Power BI
  • Strong understanding of enterprise security controls, including:
    • Encryption at rest and in transit
    • Audit logging and access management
Secondary Skills (Preferred)
  • Experience working with MySQL, MongoDB, and cloud data warehouses
  • Development of data-intensive dashboards and analytics applications
  • Knowledge of microservices architecture and cloud-native deployments
  • Experience with high-concurrency data processing workloads
  • Hands-on experience with CI/CD pipelines using Git, Jenkins, or Azure DevOps
Good to Have Skills
  • Experience with AI/LLM-based features, including Natural Language to SQL
  • Familiarity with Azure OpenAI, LangChain, or similar NLP frameworks
  • Exposure to banking, financial services, or regulated data environments
  • Knowledge of data governance and regulatory compliance standards
  • Azure certifications (Solutions Architect, Data Engineer Associate)
  • Strong stakeholder communication and requirements translation skills
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