Job Description

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
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Job Family:

Applications Development
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Time Type:

Full time
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Most Relevant Skills

Please see the requirements listed above.
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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.
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