Job Title: Data Engineer with Spark

Mission: We are seeking a Data Engineer to join our partner team, contributing to the governance of Big Data and decision-making platforms by integrating data from savings, provident, health, and property management systems.

Key Responsibilities:

• Collaborate within a Data Engineering team following Agile methodologies.

• Work with large-scale databases and deliver back-end data solutions from design through development to implementation.

• Analyze, produce, assemble, and validate software components both technically and functionally.

• Conduct unit and integration testing.

• Support users and address data-related issues.

• Maintain up-to-date documentation for the domain.

• Perform corrective and evolutionary maintenance.

• Monitor production systems to ensure smooth operation.

Profile / Requirements:

- 2-5 years of experience as a DataLake Developer or in a similar Data Engineering role.

- Strong experience with Cloudera Data Platform 7.1.9.

- Mandatory experience with Hive for data storage.

- Strong skills with Big Data tools such as Spark, Java, and HQL scripting.

- Familiarity with Git, Jira, and Shell scripting.

- Good level of French is a significant advantage, with openness to learning and improving professionally with support.

- Responsible, ambitious, and committed to achieving objectives.

- Strong combination of rigor, creativity, and communication skills.

- Enthusiastic, self-confident, curious, autonomous, and eager to develop professionally.