Location US-Remote (United States)
Job ID 14372
Overview of Job Function:
The Data Engineer (the Engineer) will design and build scalable data processing and AI pipelines for our Big Data and AI Platform. The Engineer will be responsible for processing billions of events from marquee customers in real-time for generating customer satisfaction analytics, AI based predictions, recommendations and engagement. Our platform is designed with cutting edge technologies and the Engineer will work with Kafka, spark, vertx and Mesos amongst others
Build/manage Kafka cluster to handle high volume real-time and batch processing pipelines for analytics and AI;
Performance tune and scale Kafka clusters across various products and systems;
Develop software /product that analyzes large volume of data in bigdata system, as well as deep learning using various AI/ML technologies;
Evaluate new technologies in bigdata pipeline processing.
Bachelors degree in Computer Science or equivalent experience;
At least 3 years relevant working experience managing large Kafka clusters in 24x7 production environment;
At least 3 years relevant experience in development, asynchronous programming and data streaming in Java;
Highly skilled on Kafka cluster upgrade, monitoring and troubleshooting, with deep understanding of impact on partition reassignment, Kafka consumer pause/resume, broker network latency optimization, etc.;
A passion for innovation and thinking out of the box but focused on delivering product on time;
Successful completion of the background check process, including but not limited to employment, education, criminal convictions, OFAC, SS Verification and credit, where available and in accordance with federal and local regulations.
Knowledge of Python or Spark for real time data processing is a big plus;
Vertx knowledge is a plus.
As an equal opportunity employer, Verint Systems Inc. prides itself in providing employees with a work environment in which all individuals are treated with respect and dignity. This means we are committed to providing equal opportunity to all qualified employees and applicants for employment without regard to ones race, color, religion, national origin, age, gender, disability, alienage or citizenship status, marital status, creed, genetic predisposition or carrier status, sexual orientation, Veteran status or any other classification protected by applicable federal, state or local laws. This policy applies to all terms and conditions of employment including but not limited to hiring, placement, promotion, compensation, training, leave of absence or termination.