About The Role

We are seeking a talented and passionate engineer to join our growing team. As a key member of our data platform team, you will design, develop, and maintain a high-performance platform for streaming data pipeline and analytics using cutting-edge technologies. You will work closely with the Platform Lead 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 platform using Java and related technologies (e.g., Apache Flink, Kafka, Trino).
Advise data engineers on how to build and optimize real-time and batch data processing applications to support low-latency requirements.
Extend the platform with data integration solutions between various data sources and targets, including databases, APIs, and streaming platforms.
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 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.
Experience producing high quality code using agentic coding assistants
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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