Engineering · Full Time
Data Engineer
Build reliable data platforms and pipelines that power analytics and AI.
What you'll do
- Design batch and streaming data pipelines
- Model data for analytics with dbt
- Implement data quality checks and lineage
- Optimize platform performance and cost
What you'll bring
- 3–5 years in data engineering
- Strong SQL and Python
- Experience with Spark and a cloud data warehouse
- Understanding of data modelling patterns
Skills
- Spark
- dbt
- Snowflake
- Airflow
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