Information Technology
Full-Time
Careernet
Overview
Company: Global Banking Organization
Key Skills: Core Java, Micro Services, Spring, Data Structures Algo, Data Structures, MySQL
Roles and Responsibilities:
- Design, develop, and maintain robust and scalable data pipelines using Java and related technologies (e.g., Apache Spark, Apache Flink, Kafka).
- Build and optimize real-time and batch data processing applications to support low-latency requirements.
- Implement data integration solutions between various data sources and targets, including databases, APIs, and streaming platforms.
- Work with MPP platforms like Trino (Presto) and Snowflake to process and analyze large datasets.
- Contribute to the design and development of event-driven architectures.
- Write clean, well-documented, and testable code following best practices.
- Collaborate effectively with engineers, product managers, and stakeholders throughout the software development lifecycle (SDLC), adhering to Agile methodologies.
- Stay up to date with the latest trends and technologies in the data engineering space.
Skills Required:
- Minimum 5 years of experience developing and deploying production-ready Java applications in a data engineering context.
- Strong experience with Core Java (version 11 or higher), SQL, and database APIs.
- Proven experience working with distributed stream processing frameworks like Apache Flink, Spark Streaming, or Kafka Streams.
- Experience with event-driven architectures and real-time data processing.
- Solid understanding of OOP concepts, multithreading, and thread pools.
- Familiarity with containerization technologies like Docker and deployment platforms like OpenShift, ECS, or Kubernetes is a plus.
- Excellent communication and collaboration skills.
Preferred Skills and Qualifications:
- Master's degree in a relevant field.
- Contributions to open-source projects.
- Experience working in a cloud environment (AWS, GCP).
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
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