Bachelor's degree in Computer Science, Engineering, or a related field., Proficiency in data modeling, ETL processes, and database management., Experience with programming languages such as Python or SQL., Familiarity with cloud platforms and big data technologies..
Key responsibilities:
Design and implement data pipelines for data processing and analysis.
Collaborate with data scientists and analysts to understand data requirements.
Ensure data quality and integrity throughout the data lifecycle.
Monitor and optimize data systems for performance and scalability.
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