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About
Design and implement batch and streaming ingestion pipelines from various data sources Build and manage a scalable lakehouse on AWS, optimizing for performance and cost Implement a managed metadata repository and governance controls to ensure data quality and accessibility
Required qualifications
Bachelor's degree in Engineering, IT, Computer Science, or related field (or equivalent experience) 0 to 2 years of experience in building production data pipelines and/or data platforms Knowledge of data ingestion and ETL/ELT workflows, including data modeling best practices Experience with building a data lake/delta lake on AWS using object storage Proficiency in SQL and one programming language commonly used for data engineering (Python preferred)
Languages
- English
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