Lead Data Engineer (GenAI / LLM Applications)
Tasks
- Build LLM powered RAG pipelines
- Collaborate on requirements and reporting
- Create orchestration workflows with Airflow
- Create technical documentation
- Deploy and support AWS solutions
- Design scalable data pipelines
- Develop and maintain Python services
- Establish data quality governance
- Implement ETL pipelines
- Manage source to target mappings
- Model structured and unstructured data
- Troubleshoot production issues
- Write and optimize complex SQL
Perks/Benefits
- Company holidays
- Health and wellness benefits
- Paid time off
- Professional development
- Remote work flexibility
Skills/Tech-stack
AWS Bedrock | AWS EC2 | AWS Lambda | AWS S3 | AWS Secrets | AWS Secrets Manager | Apache Airflow | CI/CD | CSS3 | Confluence | Data Governance | Data Modeling | Data Quality | Django | ETL | Flask | Git | GitHub Copilot | HTML5 | JavaScript | Jira | Langchain | Microsoft SQL | Microsoft SQL Server | NumPy | Oracle Database | Pandas | Plotly | PostgreSQL | Power BI | Python | Retrieval-Augmented Generation | SQL | SQL Server | Secrets Manager | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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