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About
Design and develop scalable data pipelines for efficient data integration and storage Optimize data transformations for analytics, AI, and machine learning use cases Ensure data consistency and quality through validation and monitoring within pipelines
Required qualifications
Bachelor's degree in computer science, data science, or related field (or equivalent experience) 3+ years of experience designing and maintaining data pipelines and platforms Strong proficiency in SQL, Python, or R for data transformation and analysis Experience with cloud-based data architectures and modern data warehouses like Snowflake or Databricks Familiarity with data quality and governance practices, including validation and access controls
Languages
- English
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