Senior Data Engineer (AI Data Platform)
Tasks
- Build data quality tests with dbt
- Develop and optimize dbt models
- Follow Git based CI CD practices
- Implement aggregation and precomputation
- Implement data quality validation pipelines
- Improve warehouse scalability and cost efficiency
- Maintain dbt incremental models
- Monitor troubleshoot and resolve production data issues
- Operate within evolving pipeline architecture
- Optimize query performance
- Perform safe production data migrations
- Profile and tune Snowflake queries
- Refactor and optimize Airflow DAGs
- Refactor database schemas
- Tune Snowflake warehouses and clustering
- Work with architecture teams on technical tradeoffs
Perks/Benefits
- Autonomy
- Collaborative culture
- End-to-end ownership
- Flexible working environment
- Professional growth
- Temporary contract with extension possibility
Skills/Tech-stack
Apache Airflow | CI/CD | DBT | Git | Medallion Architecture | Python | SQL | Snowflake
Education
Bachelor of Computer Science | Bachelor of Engineering | Bachelor of Information Systems | Bachelor of Science | Bachelor of Software Engineering
Roles
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