Minimum Technical Qualifications:
Lead Developer:
1. At least ten (10) years of experience in data/BI engineering or analytics.
2. At least five (5) years of experience in leading a team (at least 3 members) to implement enterprise-level BI and/or large data warehouse solutions.
3. At least five (5) years of experience working with AI/ML or GenAI technologies.
4. At least two (2) proven deliveries of production-grade BI or data products (dashboards, data models, APIs).
5. At least two (2) years of experience with ETL/ELT pipelines, data warehousing platforms such as Snowflake, Amazon Redshift, and orchestration tools (Airflow, dbt, etc.).
6. At least two (2) years of experience using OpenAI APIs or similar LLM platforms, building natural language to SQL/query systems, designing prompt strategies for business insights and analytics, and prompt engineering to guide the platform's system behavior.
7. 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.
8. At least two (2) years of experience leading a team of analysts and developers, as well as collaborating with stakeholders, to discover, document, and implement requirements and stakeholder requests for data warehouse or business intelligence projects.
Desirable Technical Qualifications:
Lead Developer:
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. 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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