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Job Details
Experience Level: Experienced Hire Categories:
- Engineering & Technology
- Avenue Louise 250, 1050, Brussels, BE
- Dive into the world of stream processing by actively contributing to the design and development of real-time data ingestion pipelines using Java, Apache Kafka, and Apache Flink.
- Collaborate closely with diverse teams to comprehend evolving data requirements and pioneer scalable solutions in the realm of stream processing.
- Optimize and fine-tune our transition from batch to stream processing, focusing on performance, scalability, and reliability enhancements.
- Actively engage in troubleshooting, ensuring seamless error handling for uninterrupted stream processing operations.
- Contribute to comprehensive testing and validation of real-time data pipelines, ensuring high data integrity.
- A Bachelor's/Master's degree in Computer Science, Software Engineering, or a related field.
- Proficiency in Java programming or a strong willingness to rapidly develop Java skills.
- An eagerness to explore and work with cutting-edge technologies like Apache Kafka, Apache Flink, NoSQL databases (e.g., MongoDB), and Elasticsearch.
- Strong knowledge of software development principles, design patterns, and best practices.
- Strong problem-solving skills, adaptability, and a hunger for learning in a fast-paced environment.
- Familiarity with Agile/Scrum methodologies and version control systems (e.g., Git).
- Exceptional communication skills and a collaborative mindset.
- Enthusiasm for tackling large-scale data challenges and a desire to grow within the field.
- Familiarity or interest in cloud platforms and services (e.g., AWS, Azure, GCP).
- Basic understanding or exposure to containerization technologies (e.g., Docker, Kubernetes).
About the Company
Moody's
New York City, NY, United States
In a world shaped by increasingly interconnected risks, Moody's helps customers develop a holistic view of these risks to advance their business... Read more