Java Developer with Flink
Smart IT Frame
Lutz, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Lutz, United States of America
Tech stack
Java
Amazon Web Services (AWS)
Application Performance Management
Azure
Big Data
Cloud Computing
Software Quality
ETL
Database Theory
Distributed Computing Environment
Revision Control Systems
Hadoop
Python
Standard Sql
Data Streaming
GIT
Event Driven Architecture
Information Technology
Apache Flink
Kafka
Stream Processing
Job description
We are looking for a Java Developer with Apache Flink experience to design, develop, and maintain real-time data processing applications using Java and Apache Flink. The candidate will work with large-scale datasets, build streaming data pipelines, and collaborate with cross-functional teams to deliver scalable and high-performance solutions., * Develop and maintain applications using Java and Apache Flink.
- Build and optimize real-time data processing and ETL/data streaming pipelines.
- Work with large-scale datasets in distributed environments.
- Design and implement stream processing applications for real-time analytics.
- Analyze, troubleshoot, and resolve application issues.
- Collaborate with data engineers, analysts, and business teams.
- Ensure code quality through testing and best development practices.
- Monitor, optimize, and improve application performance.
Requirements
- Strong proficiency in Java.
- Hands-on experience with Apache Flink.
- Knowledge of SQL and database concepts.
- Understanding of the Hadoop ecosystem and big data technologies.
- Experience with ETL processes, streaming data pipelines, and distributed data processing.
- Familiarity with version control tools such as Git.
- Good problem-solving and communication skills.
Preferred Skills
- Experience with Scala or Python.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Understanding of Kafka and real-time event streaming.
- Experience working with event-driven architectures and stream processing frameworks., * Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4+ years of experience in Java development and Apache Flink-based projects.