Lead Data & AI/BI Developer - Hybrid

***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.