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Data Engineering Intern
Youse Seguros. Gain hands-on experience working in cloud environments alongside an experienced team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in Python and SQL for data manipulation and automation, with a foundational understanding of cloud computing and data pipeline development. Collaborates effectively across teams while exhibiting strong communication skills and a curiosity for data engineering and artificial intelligence.
Highest-signal resume keywords
Python Script DevelopmentSQL Query WritingETL/ELT Data Pipeline SupportCloud Computing (AWS, Google Cloud, Azure)Git/GitHub Version Control
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLETLELTData Pipeline DevelopmentData ValidationData ExtractionData Structure ManipulationCloud ComputingVersion Control
Soft Skills
Team SpiritCommunication SkillsCuriosityInvestigative Mindset
Industry Keywords
Data EngineeringArtificial IntelligenceData-Related Projects
Tech Stack
Tools & technologiesAWSAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Gain hands-on experience working in cloud environments alongside an experienced team
- Support the development, execution, and monitoring of ETL/ELT data pipelines
- Write SQL queries to extract, validate, and cross-reference information
- Develop Python scripts to automate daily tasks and connect different data sources
- Collaborate with teams across Product, Finance, Pricing, Marketing, Sales, and Operations
Requirements
What you’ll need- Academic or practical knowledge of Python, including script development and manipulation of basic data structures
- Familiarity with SQL, including SELECT statements, JOINs, subqueries, and aggregations
- Basic knowledge of cloud computing (AWS, Google Cloud, or Azure)
- Genuine curiosity and an investigative mindset
- Strong team spirit and good communication skills
- Personal or academic data-related projects (a plus)
- Basic knowledge of code version control with Git/GitHub (a plus)
- Interest in understanding the connection between Data Engineering and Artificial Intelligence (a plus)
Benefits
Comp & perks- Hybrid work model: 2 days on-site and 3 days remote
- Six-hour workday
- Internship contract
- Position also open to people with disabilities