Data Engineer Python

Document Ingestion is a top priority for Chubb. We are looking for an innovative, results-oriented Data Engineer who has an ambition to contribute to the success of our Document Ingestion program. The successful candidate will be self-motivated, creative, and they will be able to independently contribute to our major strategic initiative.

You will be responsible for contributing to the development and launch of solution across the Domain and/or Platform, supporting our overall strategy by helping define product features, helping build system architecture, and spearheading the best practices that enable a quality product.

This position's location is in San Pedro Garza Garcia, Nuevo Leon,
will be worked a Hybrid Work From Home scheme (3 days at the office).

The ideal candidate should have Knowledge of object-oriented programming, analysis, design and development (OOA/OOD) and the J2EE framework and data structures, Experience building and consuming the REST and SOAP web services using Java, micro services using Spring Boot, should have knowledge on CICD Jenkins pipeline and JIRA and experience in Version Control tools like GIT/SVN. Strong understanding of relational databases (writing SQL/Stored Procedures), more than 3 years of experience with Python.

Activities

- Contribute to the development and launch of solutions across the Domain and/or Platform, assisting in defining product features, building system architecture, and championing best practices for a quality product.
- Collaborate with business stakeholders to translate their requirements into technical stories and software solutions.
- Participate in solutioning and estimation activities for upcoming opportunities.
- Work with a team of software developers to build high-quality software solutions that align with architecture guidelines.

- Support technical solutioning and troubleshooting, collaborating closely with Tech Leads and Squads.
- Collaborate with Platform teams to improve pluggable and reusable ingestion components.
- Assist in the development of an analysis and design methodology, ensuring an agile implementation process that adheres to established standards and release cycles.