Minimum Technical Qualifications:
1. At least seven (7) years of experience in the Information Technology (IT) field with extensive experience in report writing, data analysis, or database querying.
2. At least five (5) years of experience in data engineering, data warehousing, or BI analytics.
3. At least two (2) years of experience with ETL/ELT pipelines, cloud data warehouses such as Snowflake, Amazon Redshift, Azure Synapse, and orchestration tools (Airflow, dbt, etc.).
4. At least two (2) years of experience in SQL (advanced joins, window functions, performance tuning), data modeling (star/snowflake schemas, semantic layers), and hands-on experience with at least one major BI tool such as Power BI, Tableau, Looker.
5. At least two (2) years of hands-on experience in containerization and orchestration (Docker, Kubernetes), CI/CD pipelines for ML and data workflows, monitoring and logging for ML and BI systems, cloud infrastructure automation (Terraform, Ansible).
Desirable Technical Qualifications:
1. Holding technical certifications in the areas of:
AWS certifications
Snowflake certifications
BI certifications (Power BI, Tableau)
AI/ML or GenAI-related coursework or credentials
2. At least five (5) years of experience in front-end UX/UI design for analytics dashboards and highly interactive reporting.
3. At least four (4) years of experience in development with React for or building scalable, highly customized production-grade user interfaces.
4. At least two (2) years of experience in front-end development with Chainlit or Streamlit for AI/ML or GenAI solutions with complex state management & data handling (e.g., real-time updates; UI states for loading, retries, and partial responses).
5. Experience and understanding in latency handling and async UX patterns, explainable AI interfaces (confidence, sources, disclaimers), and prompt design basics.
6. Hands-on experience and proven ability to build chat interfaces (streaming responses, token handling), and AI-assisted workflows (autocomplete, summarization, recommendations).
7. At least three (3) years of experience working with AI/ML or GenAI technologies.
8. At least one (1) year of hands-on experience using OpenAI APIs or similar LLM platforms, building natural language to SQL/query systems, designing prompt strategies for business insights, and prompt engineering to guide system behavior.
9. At least three (3) years of experience in semantic layer design, data modeling, and delivering enterprise semantic models across multiple teams for large organizations.
10. At least one (1) year of experience in developing semantic models supporting natural language querying and AI-driven analytics (i.e., GenBI); statistical analysis, predictive analytics, and optimization.
11. Have a bachelor's degree in computer science, computer engineering, or related fields from an accredited or government sanctioned college/university.
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