Junior Data Engineer

Educational Requirements- Bachelor's degree completed in:Computer Science, Computer Software Engineering, Software Engineering, Computer Engineering or a closely related field- Minimum GPA: 3.0/4.0.
- Previous internship experience is a plus, particularly in: Data Engineering, Software Engineering, Database Engineering, Data Science
Technical Requirements:The candidate should have foundational knowledge of:1. SQL- SELECT, JOIN, GROUP BY and filtering- Aggregation and basic query development- Relational databases- Data validation and troubleshooting2. Python- Basic Python programming- Data-processing scripts- Automation- Writing scripts to identify and fix data problems3. Data Engineering- Data extraction- Data cleaning- Data transformation- ETL/ELT fundamentals- CSV and structured data- Database loading and validation4. APIs- Basic understanding of REST APIs- JSON- API requests and responses- Extracting and processing API data5. Overpass Turbo / OpenStreetMap- Familiarity with Overpass Turbo is preferred.- Ability to query OpenStreetMap data is a strong advantage.- Experience extracting business and geographic data is a plus.AI ToolsThe candidate must be comfortable using modern AI-assisted development tools, including:- ChatGPT Pro- Claude ProThese tools may be used for:- SQL development and troubleshooting- Python scripting- Debugging- Data cleaning and transformation- Understanding APIs- Technical research- Documentation- Developing data-processing solutionsCandidates must be able to review, understand and verify AI-generated code before using it.Preferred QualificationsPreference will be given to candidates with:- Previous technical internship experience- GPA of 3.5+/4.0- Personal data-engineering projects- Git/GitHub experience- PostgreSQL, MySQL or SQL Server experience- Pandas/NumPy- Linux experience- Cloud-platform exposure- REST API experience- OpenStreetMap/Overpass Turbo experience- Experience working with large datasets- Experience cleaning, deduplicating or validating business dataProfessional RequirementsThe successful candidate must demonstrate:- Strong analytical and problem-solving skills- Strong written and verbal communication- Reliability and accountability- Ability to follow technical instructions- Willingness to work with large and complex datasets- Ability to document technical work clearly

Work arrangement
Yes