Data Engineer

Bangalore, India
Job ID: R01533623

Data Engineer

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Must be currently doing Spark/Flink coding.
Must be from Java background.
Develop Spark jobs using Flink/Spark Core, Spark SQL, Spark Streaming, and other Spark components as per project requirements.
Primary Skills
  • Java
  • Spark Streaming
  • Spark Batch
  • Secondary Skills
  • Spark Batch, Spark Streaming
  • Specialization
  • Spark Sreaming
  • Job requirements
  • Must be currently doing Spark/Flink coding. Must be from Java back ground.
  • Develop Spark jobs using Flink/Spark Core, Spark SQL, Spark Streaming, and other Spark components as per project requirements.
  • Integrate Java applications with Kafka and Flink/Spark clusters to build end-to-end data processing pipelines.
  • Stay updated with the latest developments in Flink, Java, Kafka, and Spark technologies.Hands-on experience with Apache Spark/Flink, including Spark Core, Spark SQL, Spark Streaming, and Spark MLlib for data processing and analytics.
  • Develop robust, scalable, and high-performance Java applications.Write clean, efficient, and maintainable code following best practices and design patterns.
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