We are seeking a talented and passionate Java Data Engineer to join our growing team. As a key member of our data engineering team, you will design, develop, and maintain high-performance data pipelines and applications using cutting-edge technologies. You will work closely with the Lead Java Data Engineer and other team members to deliver innovative solutions that drive data-driven decision-making within the organization.
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.
- Collaborate effectively with other 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.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Minimum 3 years of experience developing and deploying production-ready Java or Python applications in a data engineering context.
- Experience with core Java (version 11 or higher), SQL, and database APIs.
- Experience working with distributed stream processing frameworks like Apache Flink, Spark Streaming, or Kafka Streams is a plus
- 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)
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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