Related skills
sql python hadoop airflow kafka📋 Description
- Build and operate high-quality ELT pipelines and data architectures.
- Surface proactive suggestions and insights for partner integrations at scale.
- Collaborate with data scientists, analysts, engineers, PMs, and customers.
- Turn complex data into simple, developer-friendly insights.
🎯 Requirements
- 6+ years experience in data engineering.
- Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.
- Design scalable data pipelines and architectures.
- Strong English communication; cross-functional collaboration.
- Testing, monitoring, and data validation (e.g., Pytest).
- Curious, scalable mindset; promote data culture.
🎁 Benefits
- Inclusive culture welcoming diverse perspectives.
- DEI commitments and belonging in the workplace.
- Transparent hiring process with estimated timelines.
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