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sql python databricks airflow pyspark📋 Description
- Build and maintain data pipelines in central data lake using SparkSQL and PySpark.
- Ingest, transform, and integrate data from IoT devices, Samsara software, and external sources.
- Deliver high-quality data with uptime and reliability for internal and customer datasets.
- Collaborate with Data Science, Analytics, AI/ML, and other Data Engineers on model training and dashboards.
- Drive data modeling and ETL design at scale.
🎯 Requirements
- BA/MS in Computer Science, Statistics, or related field.
- 4+ years in a data engineering role.
- Experience designing data models at scale.
- Proficiency building ETL pipelines for large data volumes.
- Experience with Spark-based data platforms (SparkSQL, PySpark).
- SQL, Python, and REST APIs; Git/GitHub.
🎁 Benefits
- Flexible, remote-friendly work model.
- Professional development stipend.
- Comprehensive health and parental leave plans.
- Equity opportunities for eligible roles.
- Total rewards designed to reward performance.
- Inclusive, collaborative culture.
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