Data Engineer Intern
- Data Pipeline Development: Design, develop, and implement robust and scalable data pipelines to ingest, process, and transform datafrom various sources (such as databases, APIs, files) into usable formats for analysis.
- Data Integration: Integrate data from disparate sources, ensuring data consistency, integrity, and quality throughout the process. Thisinvolved data cleansing, normalization, and standardization.
- Data Modeling and Architecture: Design and implement data models and architectures that support the storage, processing, and retrievalof large volumes of structured and unstructured data efficiently. This included.
- Data Transformation and ETL: Develop and maintain Extract, Transform, Load (ETL) processes to move and transform data betweensystems and repositories. Optimize ETL workflows for performance, scalability, and reliability.
- Data Governance and Security: Implement data governance policies and procedures to ensure data privacy, security, and compliance withregulations (such as GDPR, HIPAA). Manage access controls, encryption, and data.
- Data Quality Assurance: Establish data quality standards and processes to monitor, validate, and improve data quality across theorganization. Implement data profiling, cleansing, and validation techniques to detect and.