Job Summary:
MAPFRE USA is looking for a self-motivated team player to join their Data Engineering team as a Data Engineer. The role involves designing, developing, and optimizing data pipelines and backend services that power MAPFRE USAโs data platforms and analytical products, along with API development for data access.
Responsibilities:
โข Build high quality cloudโnative data APIs to enable secure and scalable access to enterprise data assets.
โข Collaborate with architects to design API integration patterns (event-driven, REST, GraphQL, CDC, streaming, etc.).
โข Implement API observability, including logging, performance monitoring, and data contract enforcement and monetization.
โข Mentor junior developers and team members.
โข Implement scalable and flexible, high performance data pipelines in AWS to support analytics.
โข Develop and maintain data maps and their relationships.
โข Generate associated technical documentation including follow-up reports.
โข Work with Data Governance to implement quality rules and data governance measures (data dictionary, metadata, traceability).
โข Propose and drive improvements and actions based on provided results.
โข Communicate results effectively with required teams.
Qualifications:
Required:
โข Bachelor's Degree with 6+ years of experience.
โข Well versed in Python, Node.js, TypeScript and Java.
โข System and Design thinking.
โข Deep experience in building Data APIs, REST APIs and GraphQL.
โข Experience with data pipelines in python and glue.
โข Experience with MDM tools like Realtio, TAMR.
โข Experience with automated test frameworks and tools.
โข CI/CD and Orchestration: Jira, Jenkins, Github and Airflow.
โข Past experience with data modeling tools, ETL tools (e.g. Informatica Power Center, Glue).
โข Code IDE: Microsoft Visual Code, Github Copilot.
Preferred:
โข Artificial intelligence, machine learning, and deep learning are a plus.
Company:
MAPFRE a global insurance company. Founded in 1935, the company is headquartered in Madrid, ESP, with a team of 10001+ employees. The company is currently Late Stage.