Brillio

Data Engineer

Job description

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. Born digital in 2014, Brillio applies its expertise in customer experience transformation, data analytics, Artificial Intelligence, platform and product engineering, cloud infrastructure, and security to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.

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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