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Jobs or company...
L

Senior Java Developer (Spark, Hadoop nice to have)

  • Full Time, onsite
  • Luxoft USA Inc
  • Hybrid2-3 times per week in office, United States of America
Salary undisclosed

Apply on

Dice
Original
Simplified
  • Project Description:
    A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients that is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Apache Spark, Hive, Java, Scala, Spring, SQL, Kafka, Hadoop.

    We are looking for a strong Senior Java Developer with Big Data experience (Hadoop, Spark) capable of build the design and establish the framework in order to expose and distribute the Risk data to wide variety of consumers including Finance, Front office Risk Systems, Trading Systems, Back office and Account systems. This should cover low latency access and Streaming, Push / Pull mechanisms depending on the type of consumers.

    The role of the Senior Java Developer involves working with strong development teams, the opportunity to work with big data improving knowledge in this domain utilizing the resources of an international bank.
  • Responsibilities:
    Design and build frameworks for ingesting/modeling the complex Risk data
    Develop Low latency caching to service Front office risk systems
  • Mandatory Skills Description:
    At least 4 years of experience in software development: professional backend software development experience;
    Strong Knowledge of Java programming languages
    Should be familiar with algorithms and design patterns
    Understanding of distributed systems.
    Understanding of CI/CD workflow.
    Familiarity with Linux environment including scripting skills
  • Nice-to-Have Skills Description:
    Big data development with extensive hands-on experience with Spark programming
    Knowledge of big data technologies like Hadoop (Hive) and Spark
    Experience In-memory databases and caching
    Job Orchestration tools like Autosys or Airflow
    Financial background (where possible)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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