Lead Data/BI Developer
Moonitsolutions Inc.
Sacramento, CA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Airflow
Amazon Web Services
Data Analysis
Big Data
Extract Transform Load (ETL)
Data Warehousing
Performance Tuning
Power BI
SQL Databases
Tableau (Software)
+8 more
Workflow Management Systems
Large Language Models
Snowflake
Prompt Engineering
Data Layers
Looker Analytics
Data Pipelines
Amazon Redshift
Requirements
- At least ten (10) years of experience in data/BI engineering or analytics.
- 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.
- At least five (5) years of experience working with AI/ML or GenAI technologies.
- At least two (2) proven deliveries of production-grade BI or data products (dashboards, data models, APIs).
- 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.).
- 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.
- 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.
- 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.
Preferred Qualifications:
-
Holding technical certifications in the areas of:
-
AWS certifications
-
Snowflake certifications
-
BI certifications (Power BI, Tableau)
-
AI/ML or GenAI-related coursework or credentials
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