[Hiring] Data Engineer @Eureka Labs

Role Description

We are looking for a Data Engineering to ensure consistency in architectural and technical decisions across systems and software, while supporting the Data Engineering team in key technical definitions. This role will be responsible for driving project kick-offs, lifecycles, and roadmaps, as well as overseeing project streams, communication, and issue management. He will also ensure delivery quality through code reviews, pair programming, and validation of the Definition of Done, while maintaining proper documentation and progress tracking.

Responsibilities

• Ensure consistency in architectural and technical decisions regarding systems and software
• Manage and support the Data Engineering team in technical decisions
• Support project kick-offs, lifecycles, and roadmaps
• Create and maintain Jira cards, documentation, and progress updates
• Conduct code reviews, pair programming, and verify the Definition of Done
• Oversee the project stream, communication, and issue management

Qualifications

• 5+ years of advanced proficiency in Python and Scala; must be able to write production-grade code
• Extensive hands-on experience with data streaming applications, specifically using Flink or Spark Structured Streaming, and Apache Kafka
• Proven expertise in developing and managing data batch frameworks (Apache Spark) and orchestrators (ArgoWF or Apache Airflow)
• Solid, applied experience in Cloud Infrastructure environments, specifically AWS (Amazon Web Services), including deployment, security, and resource optimization
• Strong proficiency in setting up and utilizing CI/CD pipelines, containerization, and version control systems (Git)
• Demonstrated problem-solving skills and ability to troubleshoot complex distributed systems
• Advanced English required