MAPFRE USA is looking to become a data-driven organization and needs a Data Engineer to help deliver value with modern tools and technologies
Requirements
- Programming: Python, Spark, PySpark
- Workflow & Orchestration: Airflow, Jira
- Cloud Platforms: AWS, Snowflake (basic exposure)
- Database Architectures: SQL, NoSQL
- Data Modeling & ETL Tools: Informatica Power Center (exposure preferred)
- Data Query & Transformation: Jupyter notebooks, AWS Athena
- Operating Systems: Linux, MS Windows
Responsibilities
- Assist in building and maintaining data extraction, transformation, and loading (ETL) processes
- Support the development of scalable data architectures and integration of data sources
- Collaborate with data scientists and analysts to understand data needs
- Test coded solutions and ensure quality before deployment
- Apply critical thinking to analysis, planning, and implementation of business initiatives
- Follow DevOps best practices and Agile methodologies
Other
- Bachelor’s Degree in Computer Science or related field, with 1–3 years of experience in data engineering or relevant internships
- Eagerness to learn algorithm analysis and collaborate with Data Scientists
- Interest in multidimensional modeling and quantitative data storage
- Curiosity about artificial intelligence, machine learning, and deep learning is a plus
- Communicate clearly with team members and stakeholders
