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About
Designs, builds, and optimizes scalable batch and streaming data pipelines for analytics and operational use cases Leads the development of high-quality data products across various data architectures Establishes engineering standards for code quality, testing, and documentation
Required Qualifications
Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field 6+ years of experience in data engineering, with 3+ years in a senior or lead role Strong hands-on experience with Databricks, Apache Spark, Delta Lake, and cloud-based data platforms Deep expertise in SQL and programming skills in Python and/or Java Strong understanding of data modeling, performance optimization, and operational monitoring
Languages
- English
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