Senior Software Engineer, Data Infrastructure
Tasks
- Architect semantic layer and LLM integration pipelines for natural language querying
- Build Streamlit React and Python internal data applications
- Build self service tooling patterns guardrails and diagnostics
- Design data stack architecture
- Develop automation for analytics data creation and discovery
- Implement data infrastructure for advanced analytics and AI
- Implement data quality monitoring and issue resolution
- Improve pipeline performance cost efficiency and resilience
- Lead platform and warehousing strategy reviews and revamp
- Maintain data pipelines orchestration and warehouse reliability
- Mentor engineers and establish data engineering best practices
Perks/Benefits
- Comprehensive health coverage
- Cycle to work scheme
- Dental insurance
- Flexible holidays
- Flexible hybrid work policy
- Health insurance
- Life assurance
- MacBook provided
- Open vacation policy
- Paid Maternity Leave
- Paid paternity leave
- Pension scheme
Skills/Tech-stack
Apache Airflow | Aurora | Cost Optimization | DBT | Data Privacy | Data Quality | Data Security | Data Warehousing | Data orchestration | Data quality monitoring | Distributed Systems | Language Processing | MySQL | Natural Language | Natural Language Processing | PlanetScale | Python | Quality monitoring | React | SQL | Semantic layer | Snowflake | Streamlit
Education
N/A
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