Related skills
azure sql python gcp databricks📋 Description
- Design, build, and operate end-to-end data pipelines on Azure or GCP.
- Implement lakehouse patterns (Delta Lake, medallion) for data products.
- Deliver batch and streaming pipelines (Kafka, Pub/Sub, Event Hubs).
- Write high-quality Python and SQL for data processing.
- Apply data modeling, quality, lineage, and governance practices.
- Set up CI/CD for data pipelines and infrastructure.
🎯 Requirements
- 5+ years as a Data Engineer in cloud environments.
- Azure (ADF, Databricks) or GCP (Dataflow, BigQuery) expertise.
- Python and SQL for data processing.
- Delta Lake and medallion lakehouse architecture knowledge.
- Batch and streaming pipelines (Kafka, Pub/Sub, Event Hubs).
- CI/CD for data pipelines and infrastructure.
🎁 Benefits
- High-impact engineering role in cloud and lakehouse.
- Build data products for analytics, AI/ML, and initiatives.
- Hybrid collaboration with cross-functional teams.
- Strong engineering culture focused on quality and ownership.
- Access to Sytac's data community and development programs.
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