Proficiency in Data Engineering.
Experience with designing and implementing scalable data pipelines and architectures.
Robust knowledge of database systems, data warehousing, and ETL processes.
Familiarity with performance monitoring tools and techniques to analyze system behavior.
Ability to work with large datasets and optimize data processing workflows.
Understanding of cloud platforms and distributed computing settings.
📌 Data Engineering Mumbai (India)
🏢 Cerebra
📍 India
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