Big Data Engineer chez Leyton

Main Responsibilities:
-   Design and implement infrastructure for managing the company's data in alignment with various business challenges.
-   Develop and manage data flows, including ingestion, modeling, warehousing, and cleaning, using Big Data technologies.
-   Analyze source systems to define optimal data management strategies from collection to analysis.
-   Collaborate with cross-functional teams to integrate Big Data solutions with existing systems.
-   Optimize and maintain Big Data platforms for performance, reliability, and scalability.
-   Develop and enforce data governance policies to ensure data quality and security.
-   Create and maintain documentation related to data architecture, processes, and workflows.
-   Conduct performance tuning and troubleshooting to resolve data-related issues.
-   Develop data visualizations and reports to support business decision-making.
-   Lead and participate in code reviews to ensure code quality and best practices.

Qualifications:
-   Bachelor's Degree in Software Development, Computer Engineering, or a related field.
-   Expertise in one or more Big Data technologies.
-   Certifications in Big Data technologies are a plus.
-   to 3 years of experience in a similar role.
-   Proficiency in understanding complex data processing algorithms and mechanisms.
-   Skills & experience in Python and SQL, Spark, Airflow, Kafka, RabbitMQ, ElasticSearch (and the ELK Suite), MongoDB, Neo4J, Docker, and front-end frameworks like Angular, React, or Vue.js.
-   Excellent listening, synthesis, and analytical skills.
-   Intellectual curiosity, initiative, and proactivity.
-   Strong organizational skills and the ability to work autonomously.
-   Excellent interpersonal skills and the ability to facilitate team collaboration.