- Data architecture: Design and maintain the data architecture for an organization, including selecting technologies and writing code
- Data storage: Develop storage solutions for large amounts of data, and ensure data is stored securely
- Data collection: Collect data from multiple sources, and ensure the accuracy and integrity of the data
- Data processing: Develop algorithms to transform data into useful information
- Data pipelines: Build, test, and maintain database pipeline architectures
- Data governance: Ensure compliance with data governance and security policies
- Data collaboration: Work with data scientists, business analysts, and other stakeholders to develop data models and pipelines
- Data visualization: Create data analysis tools and visualization methods
- Data management: Build and maintain data management systems, such as databases
- Data best practices: Advocate for best practices and continued learnin
- experience in databricks / snowflake / bigquery / cloudera or other datalakes
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