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sql python pandas hadoop kafka📋 Description
- Partner with sales to provide technical leadership and Databricks solutions.
- Consult on Big Data architectures; build PoCs for data eng, data science, ML.
- Collaborate with Solutions Architects to support users.
- Promote and recruit contributors for Spark, Delta Lake, MLflow.
🎯 Requirements
- 3+ years in data engineering, data science, or technical architecture.
- Experience building distributed data systems.
- Comfortable programming in Python and SQL.
- Built solutions with AWS, Azure, or GCP.
- Expertise in Spark/Hadoop/Kafka or pandas/scikit-learn/PyTorch/TF.
- Travel to customer sites in your region.
🎁 Benefits
- Pay range USD 152,300 – 209,450; may include bonus/equity.
- Comprehensive benefits; region-specific details on our pay zone page.
- Remote-friendly culture and global teams.
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