Description
We are looking for a motivated Data Engineer Intern to support the development, maintenance, and optimization of data pipelines and data processing workflows.
The role involves working with Python, SQL, ETL/ELT processes, databases, and cloud technologies to ensure efficient data integration and management.
Key Responsibilities
- Assist in designing, developing, and maintaining ETL/ELT data pipelines.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Develop Python scripts for data processing, automation, and integration.
- Work with structured and semi-structured datasets from multiple sources.
- Support data cleaning, validation, transformation, and quality assurance.
- Assist in managing relational databases and data warehouses.
- Gain hands-on experience with cloud platforms such as AWS.
- Collaborate with data engineers, analysts, and software developers on data-related projects.
- Monitor data pipelines and assist in troubleshooting performance issues.
- Maintain technical documentation for data workflows and processes.
Required Qualifications
- Currently pursuing a Bachelor’s in Computer Science, Information Technology, Data Science, Engineering, or a related field with an anticipated graduation date of June/July 2027.
- Strong understanding of SQL and relational database concepts.
- Basic to intermediate programming knowledge in Python.
- Preferred familiarity with ETL processes and data warehousing concepts.
- Basic understanding of data modeling and data transformation.
- Strong analytical and problem-solving abilities.
- Good communication and teamwork skills.
- Willingness to learn new technologies and tools.
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