Data Engineer

About the role

We are looking for a Data Engineer who thrives at the intersection of backend development and data engineering. The role involves designing and implementing data infrastructure to support a variety of business challenges for Leyton CognitX.

Key responsibilities

• Design and implement infrastructure for managing the company's data in alignment with 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.

Required profile

• Master's degree in Software Development, Computer Engineering, or a related field.
• Expertise in one or more Big Data technologies (certifications are a plus).
• At least 3 years of experience in a similar data engineering role.
• Proficiency in understanding complex data processing algorithms and mechanisms.

Required skills

• Python
• SQL
• Spark
• Airflow
• Kafka
• RabbitMQ
• ElasticSearch (ELK Suite)
• MongoDB
• Neo4J
• Docker
• Front‑end frameworks such as Angular, React, or Vue.js