Stream Processing Data Engineer - Remote

Overview

The Stream Processing Data Engineer will be responsible for developing big data solutions, optimizing data workflows, and ensuring the performance and security of data applications.

In Short

• Developing big data solutions
• Designing, developing, and optimizing data workflows
• Creating applications and data pipelines that efficiently handle large volumes of data
• Ensuring optimal performance, scalability, and security
• Plans and manages tests
• Support the project team and the customer on all issues related to quality management

Requirements

• Bachelor plus a minimum of 4 years of relevant professional experience
• Presents excellent command of English, at least at B2 level
• Hands-on experience on Apache Flink with Apache Beam
• Hands-on experience on CDC technology based on Debezium and Apache Kafka
• Hands-on experience on Transactional Data Lake
• Works unassisted and guides junior staff
• Writes specifications, concept documents, end user and technical documentation
• Strong analytical and problem-solving skills with a focus on security and data integrity
• Excellent communication and teamwork abilities
• Committed to continuous learning and staying current with industry trends

Benefits

• Proactive in adopting new technologies and best practices for data management
• Ability to work in a fast-paced and dynamic environment and manage complex data workflows