Posted:4 weeks ago|
Platform:
Work from Office
Full Time
1. Data Architect/Data Engineer with 4-10 years of experience 2. Ability to communicate with global customers 3. Ability to gather and document the requirements and ask right questions to the stakeholders 4. Should be able in UK shift (till 11PM IST) Technical Proficiency - Databricks: Cluster types and their functionalities. Mechanisms for sharing notebooks. Understanding and usage of DBFS (Databricks File System). Explanation and use cases of widgets. Azure SQL Database: Differences between PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Concept and application of CTEs (Common Table Expressions). Python and Data Frameworks: Basic operations with Pandas DataFrames. Understanding of PySpark DataFrames and their differences from Pandas. Awareness of commonly used Python libraries and their application
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