Elucidata is hiring for the role of Data Engineering Intern!
Responsibilities of the Intern:
Design, develop, and maintain efficient data pipelines to extract, transform, and load (ETL) data from various public biomedical literature and databases.
Collaborate closely with the team to understand data requirements, ensuring the accuracy, reliability, and scalability of data solutions.
Optimize existing data workflows and processes to enhance efficiency and performance.
Implement data quality checks, validation mechanisms, and monitoring tools to ensure data integrity and consistency.
Document technical specifications, data schemas, and pipeline architectures to facilitate seamless knowledge transfer and scalability.
Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Bioinformatics, or a related field.
Strong proficiency in Python programming and familiarity with data engineering stack.
Hands-on experience with designing and implementing data pipelines and ETL processes.
Strong analytical skills with the ability to understand complex data structures and relationships.
Excellent communication skills with the ability to collaborate effectively in a team-oriented environment.
Prior experience or projects showcasing your proficiency in data engineering and pipeline development will be highly advantageous.
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