***Webcam interview *** Very long term; initial PO for 1 year and usually goes for 3+ years *** Hybrid***Need 3 References ***
Job Description:
Responsibilities
- Lead enterprise-level BI, data warehouse and analytics initiatives.
- Design and implement GenBI, AI/ML and Generative AI solutions.
- Lead teams of at least 3 members.
- Develop production-grade dashboards, data models and APIs.
- Design ETL/ELT pipelines and data warehouse solutions.
- Work with Snowflake, Amazon Redshift, Airflow and dbt.
- Build Natural Language-to-SQL/query solutions using OpenAI or similar LLM APIs.
- Perform prompt engineering for business insights and analytics.
- Develop advanced SQL, data models, semantic layers and BI solutions.
- Collaborate with business stakeholders, analysts and developers.
Key Skills
- Data Engineering / BI Engineering
- Data Warehousing
- GenAI / AI / ML
- OpenAI APIs / LLM
- Prompt Engineering
- Natural Language to SQL
- Advanced SQL
- Data Modeling
- Star/Snowflake Schema
- Semantic Layers
- Snowflake
- Amazon Redshift
- Airflow
- dbt
- Power BI / Tableau / Looker
- API Development
- Team Leadership
Experience
- 10+ years in data/BI engineering or analytics
- 5+ years team leadership
- 5+ years AI/ML/GenAI
Certifications / Education
- AWS Certification
- Snowflake Certification
- Power BI or Tableau Certification
- AI/ML or GenAI coursework/credentials
Bachelor''s degree in Computer Science, Computer Engineering or related field.
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