Senior Data Engineering (Tech Lead)
Tasks
- Architect AI agent for telemetry access
- Build ELT pipelines
- Build ETL pipelines
- Contribute to agile team ceremonies
- Create dashboards in BI tools
- Deliver scalable data pipelines and reporting
- Design data models
- Develop semantic data models
- Ensure scalability, reliability, and performance
- Establish data engineering standards
- Implement AI assisted data workflows
- Integrate telemetry insights into internal tools
- Lead data engineering team
- Own data warehousing architecture
- Perform code reviews and mentoring
Perks/Benefits
- Childcare support
- Flexible hours
- Gym subscription
- Hybrid work
- Meal vouchers
- Private health insurance
- Reimbursement for English and Spanish classes
- Relocation package
- Unlimited paid time off
Skills/Tech-stack
AI Agents | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon QuickSight | Amazon Redshift | CI/CD | DBT | Data Modeling | Data Visualization | Data Warehousing | Docker | ELT | ETL | Git | Jenkins | LLM | LLM APIs | Langchain | Language Model | Large Language Model | Llamaindex | Monitoring | Natural Language | Natural Language to SQL | Performance Tuning | Power BI | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic data | Semantic data modeling | Step Functions | Tableau | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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