Position Details
About this role
This role involves designing and implementing scalable data models and pipelines across cloud and graph database systems, with a focus on AI enablement and data quality.
Key Responsibilities
- Design relational schemas in AWS RDS
- Develop warehouse/lakehouse schemas in Snowflake and Databricks
- Implement GraphRAG pipelines for AI
- Build ETL/ELT pipelines using Airflow and Glue
- Optimize query performance and data storage
Technical Overview
The technical environment includes AWS cloud services, graph databases like Neo4J, data platforms such as Snowflake and Databricks, and AI pipelines like GraphRAG.
Ideal Candidate
The ideal candidate is a senior data engineer with 7+ years of experience in data modeling, pipeline development, and cloud data platforms, particularly AWS and graph databases. They possess strong communication skills and experience with AI/ML pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AWS RDS, Neptune, Neo4J, Snowflake, or Databricks, Less than 7 years of data engineering experience, No experience with data modeling or pipelines
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