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